Overview

Brought to you by YData

Dataset statistics

Number of variables434
Number of observations177162
Missing cells34662440
Missing cells (%)45.1%
Total size in memory586.6 MiB
Average record size in memory3.4 KiB

Variable types

Numeric403
Text31

Alerts

card2 has 2622 (1.5%) missing valuesMissing
addr1 has 19587 (11.1%) missing valuesMissing
addr2 has 19587 (11.1%) missing valuesMissing
dist1 has 105618 (59.6%) missing valuesMissing
dist2 has 165973 (93.7%) missing valuesMissing
P_emaildomain has 28616 (16.2%) missing valuesMissing
R_emaildomain has 135987 (76.8%) missing valuesMissing
D2 has 83939 (47.4%) missing valuesMissing
D3 has 78554 (44.3%) missing valuesMissing
D4 has 51001 (28.8%) missing valuesMissing
D5 has 93064 (52.5%) missing valuesMissing
D6 has 155281 (87.6%) missing valuesMissing
D7 has 165463 (93.4%) missing valuesMissing
D8 has 154584 (87.3%) missing valuesMissing
D9 has 154584 (87.3%) missing valuesMissing
D10 has 22949 (13.0%) missing valuesMissing
D11 has 83804 (47.3%) missing valuesMissing
D12 has 157810 (89.1%) missing valuesMissing
D13 has 158680 (89.6%) missing valuesMissing
D14 has 158537 (89.5%) missing valuesMissing
D15 has 26840 (15.1%) missing valuesMissing
M1 has 81371 (45.9%) missing valuesMissing
M2 has 81371 (45.9%) missing valuesMissing
M3 has 81371 (45.9%) missing valuesMissing
M4 has 84629 (47.8%) missing valuesMissing
M5 has 105260 (59.4%) missing valuesMissing
M6 has 50808 (28.7%) missing valuesMissing
M7 has 103859 (58.6%) missing valuesMissing
M8 has 103855 (58.6%) missing valuesMissing
M9 has 103855 (58.6%) missing valuesMissing
V1 has 83804 (47.3%) missing valuesMissing
V2 has 83804 (47.3%) missing valuesMissing
V3 has 83804 (47.3%) missing valuesMissing
V4 has 83804 (47.3%) missing valuesMissing
V5 has 83804 (47.3%) missing valuesMissing
V6 has 83804 (47.3%) missing valuesMissing
V7 has 83804 (47.3%) missing valuesMissing
V8 has 83804 (47.3%) missing valuesMissing
V9 has 83804 (47.3%) missing valuesMissing
V10 has 83804 (47.3%) missing valuesMissing
V11 has 83804 (47.3%) missing valuesMissing
V12 has 22962 (13.0%) missing valuesMissing
V13 has 22962 (13.0%) missing valuesMissing
V14 has 22962 (13.0%) missing valuesMissing
V15 has 22962 (13.0%) missing valuesMissing
V16 has 22962 (13.0%) missing valuesMissing
V17 has 22962 (13.0%) missing valuesMissing
V18 has 22962 (13.0%) missing valuesMissing
V19 has 22962 (13.0%) missing valuesMissing
V20 has 22962 (13.0%) missing valuesMissing
V21 has 22962 (13.0%) missing valuesMissing
V22 has 22962 (13.0%) missing valuesMissing
V23 has 22962 (13.0%) missing valuesMissing
V24 has 22962 (13.0%) missing valuesMissing
V25 has 22962 (13.0%) missing valuesMissing
V26 has 22962 (13.0%) missing valuesMissing
V27 has 22962 (13.0%) missing valuesMissing
V28 has 22962 (13.0%) missing valuesMissing
V29 has 22962 (13.0%) missing valuesMissing
V30 has 22962 (13.0%) missing valuesMissing
V31 has 22962 (13.0%) missing valuesMissing
V32 has 22962 (13.0%) missing valuesMissing
V33 has 22962 (13.0%) missing valuesMissing
V34 has 22962 (13.0%) missing valuesMissing
V35 has 51014 (28.8%) missing valuesMissing
V36 has 51014 (28.8%) missing valuesMissing
V37 has 51014 (28.8%) missing valuesMissing
V38 has 51014 (28.8%) missing valuesMissing
V39 has 51014 (28.8%) missing valuesMissing
V40 has 51014 (28.8%) missing valuesMissing
V41 has 51014 (28.8%) missing valuesMissing
V42 has 51014 (28.8%) missing valuesMissing
V43 has 51014 (28.8%) missing valuesMissing
V44 has 51014 (28.8%) missing valuesMissing
V45 has 51014 (28.8%) missing valuesMissing
V46 has 51014 (28.8%) missing valuesMissing
V47 has 51014 (28.8%) missing valuesMissing
V48 has 51014 (28.8%) missing valuesMissing
V49 has 51014 (28.8%) missing valuesMissing
V50 has 51014 (28.8%) missing valuesMissing
V51 has 51014 (28.8%) missing valuesMissing
V52 has 51014 (28.8%) missing valuesMissing
V53 has 23288 (13.1%) missing valuesMissing
V54 has 23288 (13.1%) missing valuesMissing
V55 has 23288 (13.1%) missing valuesMissing
V56 has 23288 (13.1%) missing valuesMissing
V57 has 23288 (13.1%) missing valuesMissing
V58 has 23288 (13.1%) missing valuesMissing
V59 has 23288 (13.1%) missing valuesMissing
V60 has 23288 (13.1%) missing valuesMissing
V61 has 23288 (13.1%) missing valuesMissing
V62 has 23288 (13.1%) missing valuesMissing
V63 has 23288 (13.1%) missing valuesMissing
V64 has 23288 (13.1%) missing valuesMissing
V65 has 23288 (13.1%) missing valuesMissing
V66 has 23288 (13.1%) missing valuesMissing
V67 has 23288 (13.1%) missing valuesMissing
V68 has 23288 (13.1%) missing valuesMissing
V69 has 23288 (13.1%) missing valuesMissing
V70 has 23288 (13.1%) missing valuesMissing
V71 has 23288 (13.1%) missing valuesMissing
V72 has 23288 (13.1%) missing valuesMissing
V73 has 23288 (13.1%) missing valuesMissing
V74 has 23288 (13.1%) missing valuesMissing
V75 has 26853 (15.2%) missing valuesMissing
V76 has 26853 (15.2%) missing valuesMissing
V77 has 26853 (15.2%) missing valuesMissing
V78 has 26853 (15.2%) missing valuesMissing
V79 has 26853 (15.2%) missing valuesMissing
V80 has 26853 (15.2%) missing valuesMissing
V81 has 26853 (15.2%) missing valuesMissing
V82 has 26853 (15.2%) missing valuesMissing
V83 has 26853 (15.2%) missing valuesMissing
V84 has 26853 (15.2%) missing valuesMissing
V85 has 26853 (15.2%) missing valuesMissing
V86 has 26853 (15.2%) missing valuesMissing
V87 has 26853 (15.2%) missing valuesMissing
V88 has 26853 (15.2%) missing valuesMissing
V89 has 26853 (15.2%) missing valuesMissing
V90 has 26853 (15.2%) missing valuesMissing
V91 has 26853 (15.2%) missing valuesMissing
V92 has 26853 (15.2%) missing valuesMissing
V93 has 26853 (15.2%) missing valuesMissing
V94 has 26853 (15.2%) missing valuesMissing
V138 has 152463 (86.1%) missing valuesMissing
V139 has 152463 (86.1%) missing valuesMissing
V140 has 152463 (86.1%) missing valuesMissing
V141 has 152463 (86.1%) missing valuesMissing
V142 has 152463 (86.1%) missing valuesMissing
V143 has 152462 (86.1%) missing valuesMissing
V144 has 152462 (86.1%) missing valuesMissing
V145 has 152462 (86.1%) missing valuesMissing
V146 has 152463 (86.1%) missing valuesMissing
V147 has 152463 (86.1%) missing valuesMissing
V148 has 152463 (86.1%) missing valuesMissing
V149 has 152463 (86.1%) missing valuesMissing
V150 has 152462 (86.1%) missing valuesMissing
V151 has 152462 (86.1%) missing valuesMissing
V152 has 152462 (86.1%) missing valuesMissing
V153 has 152463 (86.1%) missing valuesMissing
V154 has 152463 (86.1%) missing valuesMissing
V155 has 152463 (86.1%) missing valuesMissing
V156 has 152463 (86.1%) missing valuesMissing
V157 has 152463 (86.1%) missing valuesMissing
V158 has 152463 (86.1%) missing valuesMissing
V159 has 152462 (86.1%) missing valuesMissing
V160 has 152462 (86.1%) missing valuesMissing
V161 has 152463 (86.1%) missing valuesMissing
V162 has 152463 (86.1%) missing valuesMissing
V163 has 152463 (86.1%) missing valuesMissing
V164 has 152462 (86.1%) missing valuesMissing
V165 has 152462 (86.1%) missing valuesMissing
V166 has 152462 (86.1%) missing valuesMissing
V167 has 135263 (76.3%) missing valuesMissing
V168 has 135263 (76.3%) missing valuesMissing
V169 has 135207 (76.3%) missing valuesMissing
V170 has 135207 (76.3%) missing valuesMissing
V171 has 135207 (76.3%) missing valuesMissing
V172 has 135263 (76.3%) missing valuesMissing
V173 has 135263 (76.3%) missing valuesMissing
V174 has 135207 (76.3%) missing valuesMissing
V175 has 135207 (76.3%) missing valuesMissing
V176 has 135263 (76.3%) missing valuesMissing
V177 has 135263 (76.3%) missing valuesMissing
V178 has 135263 (76.3%) missing valuesMissing
V179 has 135263 (76.3%) missing valuesMissing
V180 has 135207 (76.3%) missing valuesMissing
V181 has 135263 (76.3%) missing valuesMissing
V182 has 135263 (76.3%) missing valuesMissing
V183 has 135263 (76.3%) missing valuesMissing
V184 has 135207 (76.3%) missing valuesMissing
V185 has 135207 (76.3%) missing valuesMissing
V186 has 135263 (76.3%) missing valuesMissing
V187 has 135263 (76.3%) missing valuesMissing
V188 has 135207 (76.3%) missing valuesMissing
V189 has 135207 (76.3%) missing valuesMissing
V190 has 135263 (76.3%) missing valuesMissing
V191 has 135263 (76.3%) missing valuesMissing
V192 has 135263 (76.3%) missing valuesMissing
V193 has 135263 (76.3%) missing valuesMissing
V194 has 135207 (76.3%) missing valuesMissing
V195 has 135207 (76.3%) missing valuesMissing
V196 has 135263 (76.3%) missing valuesMissing
V197 has 135207 (76.3%) missing valuesMissing
V198 has 135207 (76.3%) missing valuesMissing
V199 has 135263 (76.3%) missing valuesMissing
V200 has 135207 (76.3%) missing valuesMissing
V201 has 135207 (76.3%) missing valuesMissing
V202 has 135263 (76.3%) missing valuesMissing
V203 has 135263 (76.3%) missing valuesMissing
V204 has 135263 (76.3%) missing valuesMissing
V205 has 135263 (76.3%) missing valuesMissing
V206 has 135263 (76.3%) missing valuesMissing
V207 has 135263 (76.3%) missing valuesMissing
V208 has 135207 (76.3%) missing valuesMissing
V209 has 135207 (76.3%) missing valuesMissing
V210 has 135207 (76.3%) missing valuesMissing
V211 has 135263 (76.3%) missing valuesMissing
V212 has 135263 (76.3%) missing valuesMissing
V213 has 135263 (76.3%) missing valuesMissing
V214 has 135263 (76.3%) missing valuesMissing
V215 has 135263 (76.3%) missing valuesMissing
V216 has 135263 (76.3%) missing valuesMissing
V217 has 137978 (77.9%) missing valuesMissing
V218 has 137978 (77.9%) missing valuesMissing
V219 has 137978 (77.9%) missing valuesMissing
V220 has 134682 (76.0%) missing valuesMissing
V221 has 134682 (76.0%) missing valuesMissing
V222 has 134682 (76.0%) missing valuesMissing
V223 has 137978 (77.9%) missing valuesMissing
V224 has 137978 (77.9%) missing valuesMissing
V225 has 137978 (77.9%) missing valuesMissing
V226 has 137978 (77.9%) missing valuesMissing
V227 has 134682 (76.0%) missing valuesMissing
V228 has 137978 (77.9%) missing valuesMissing
V229 has 137978 (77.9%) missing valuesMissing
V230 has 137978 (77.9%) missing valuesMissing
V231 has 137978 (77.9%) missing valuesMissing
V232 has 137978 (77.9%) missing valuesMissing
V233 has 137978 (77.9%) missing valuesMissing
V234 has 134682 (76.0%) missing valuesMissing
V235 has 137978 (77.9%) missing valuesMissing
V236 has 137978 (77.9%) missing valuesMissing
V237 has 137978 (77.9%) missing valuesMissing
V238 has 134682 (76.0%) missing valuesMissing
V239 has 134682 (76.0%) missing valuesMissing
V240 has 137978 (77.9%) missing valuesMissing
V241 has 137978 (77.9%) missing valuesMissing
V242 has 137978 (77.9%) missing valuesMissing
V243 has 137978 (77.9%) missing valuesMissing
V244 has 137978 (77.9%) missing valuesMissing
V245 has 134682 (76.0%) missing valuesMissing
V246 has 137978 (77.9%) missing valuesMissing
V247 has 137978 (77.9%) missing valuesMissing
V248 has 137978 (77.9%) missing valuesMissing
V249 has 137978 (77.9%) missing valuesMissing
V250 has 134682 (76.0%) missing valuesMissing
V251 has 134682 (76.0%) missing valuesMissing
V252 has 137978 (77.9%) missing valuesMissing
V253 has 137978 (77.9%) missing valuesMissing
V254 has 137978 (77.9%) missing valuesMissing
V255 has 134682 (76.0%) missing valuesMissing
V256 has 134682 (76.0%) missing valuesMissing
V257 has 137978 (77.9%) missing valuesMissing
V258 has 137978 (77.9%) missing valuesMissing
V259 has 134682 (76.0%) missing valuesMissing
V260 has 137978 (77.9%) missing valuesMissing
V261 has 137978 (77.9%) missing valuesMissing
V262 has 137978 (77.9%) missing valuesMissing
V263 has 137978 (77.9%) missing valuesMissing
V264 has 137978 (77.9%) missing valuesMissing
V265 has 137978 (77.9%) missing valuesMissing
V266 has 137978 (77.9%) missing valuesMissing
V267 has 137978 (77.9%) missing valuesMissing
V268 has 137978 (77.9%) missing valuesMissing
V269 has 137978 (77.9%) missing valuesMissing
V270 has 134682 (76.0%) missing valuesMissing
V271 has 134682 (76.0%) missing valuesMissing
V272 has 134682 (76.0%) missing valuesMissing
V273 has 137978 (77.9%) missing valuesMissing
V274 has 137978 (77.9%) missing valuesMissing
V275 has 137978 (77.9%) missing valuesMissing
V276 has 137978 (77.9%) missing valuesMissing
V277 has 137978 (77.9%) missing valuesMissing
V278 has 137978 (77.9%) missing valuesMissing
V322 has 152341 (86.0%) missing valuesMissing
V323 has 152341 (86.0%) missing valuesMissing
V324 has 152341 (86.0%) missing valuesMissing
V325 has 152341 (86.0%) missing valuesMissing
V326 has 152341 (86.0%) missing valuesMissing
V327 has 152341 (86.0%) missing valuesMissing
V328 has 152341 (86.0%) missing valuesMissing
V329 has 152341 (86.0%) missing valuesMissing
V330 has 152341 (86.0%) missing valuesMissing
V331 has 152341 (86.0%) missing valuesMissing
V332 has 152341 (86.0%) missing valuesMissing
V333 has 152341 (86.0%) missing valuesMissing
V334 has 152341 (86.0%) missing valuesMissing
V335 has 152341 (86.0%) missing valuesMissing
V336 has 152341 (86.0%) missing valuesMissing
V337 has 152341 (86.0%) missing valuesMissing
V338 has 152341 (86.0%) missing valuesMissing
V339 has 152341 (86.0%) missing valuesMissing
id_01 has 133876 (75.6%) missing valuesMissing
id_02 has 134896 (76.1%) missing valuesMissing
id_03 has 157171 (88.7%) missing valuesMissing
id_04 has 157171 (88.7%) missing valuesMissing
id_05 has 136093 (76.8%) missing valuesMissing
id_06 has 136093 (76.8%) missing valuesMissing
id_07 has 175650 (99.1%) missing valuesMissing
id_08 has 175650 (99.1%) missing valuesMissing
id_09 has 154584 (87.3%) missing valuesMissing
id_10 has 154584 (87.3%) missing valuesMissing
id_11 has 134866 (76.1%) missing valuesMissing
id_12 has 133876 (75.6%) missing valuesMissing
id_13 has 138978 (78.4%) missing valuesMissing
id_14 has 153047 (86.4%) missing valuesMissing
id_15 has 134862 (76.1%) missing valuesMissing
id_16 has 138320 (78.1%) missing valuesMissing
id_17 has 135333 (76.4%) missing valuesMissing
id_18 has 163583 (92.3%) missing valuesMissing
id_19 has 135346 (76.4%) missing valuesMissing
id_20 has 135372 (76.4%) missing valuesMissing
id_21 has 175651 (99.1%) missing valuesMissing
id_22 has 175645 (99.1%) missing valuesMissing
id_23 has 175645 (99.1%) missing valuesMissing
id_24 has 175777 (99.2%) missing valuesMissing
id_25 has 175653 (99.1%) missing valuesMissing
id_26 has 175646 (99.1%) missing valuesMissing
id_27 has 175645 (99.1%) missing valuesMissing
id_28 has 134866 (76.1%) missing valuesMissing
id_29 has 134866 (76.1%) missing valuesMissing
id_30 has 153785 (86.8%) missing valuesMissing
id_31 has 135070 (76.2%) missing valuesMissing
id_32 has 153779 (86.8%) missing valuesMissing
id_33 has 155091 (87.5%) missing valuesMissing
id_34 has 153735 (86.8%) missing valuesMissing
id_35 has 134862 (76.1%) missing valuesMissing
id_36 has 134862 (76.1%) missing valuesMissing
id_37 has 134862 (76.1%) missing valuesMissing
id_38 has 134862 (76.1%) missing valuesMissing
DeviceType has 134913 (76.2%) missing valuesMissing
DeviceInfo has 141540 (79.9%) missing valuesMissing
C1 is highly skewed (γ1 = 23.74243678)Skewed
C2 is highly skewed (γ1 = 23.42437172)Skewed
C3 is highly skewed (γ1 = 108.1235622)Skewed
C4 is highly skewed (γ1 = 21.79898823)Skewed
C7 is highly skewed (γ1 = 27.07845434)Skewed
C8 is highly skewed (γ1 = 25.93634767)Skewed
C10 is highly skewed (γ1 = 25.02597476)Skewed
C11 is highly skewed (γ1 = 22.12030239)Skewed
C12 is highly skewed (γ1 = 27.2919132)Skewed
V1 is highly skewed (γ1 = -101.8353792)Skewed
V14 is highly skewed (γ1 = -45.61605799)Skewed
V27 is highly skewed (γ1 = 39.39399593)Skewed
V28 is highly skewed (γ1 = 41.98827798)Skewed
V37 is highly skewed (γ1 = 24.8028278)Skewed
V41 is highly skewed (γ1 = -34.95379431)Skewed
V44 is highly skewed (γ1 = 29.93891542)Skewed
V45 is highly skewed (γ1 = 23.82234796)Skewed
V56 is highly skewed (γ1 = 22.81316194)Skewed
V65 is highly skewed (γ1 = -51.47865619)Skewed
V68 is highly skewed (γ1 = 46.84461598)Skewed
V88 is highly skewed (γ1 = -34.0912027)Skewed
V89 is highly skewed (γ1 = 40.06009184)Skewed
V95 is highly skewed (γ1 = 29.94907535)Skewed
V96 is highly skewed (γ1 = 25.88437771)Skewed
V97 is highly skewed (γ1 = 25.16612459)Skewed
V101 is highly skewed (γ1 = 30.3322355)Skewed
V102 is highly skewed (γ1 = 26.82336351)Skewed
V103 is highly skewed (γ1 = 25.88328461)Skewed
V105 is highly skewed (γ1 = 20.63773793)Skewed
V107 is highly skewed (γ1 = -50.62765805)Skewed
V111 is highly skewed (γ1 = 33.96724501)Skewed
V112 is highly skewed (γ1 = 23.99371303)Skewed
V113 is highly skewed (γ1 = 30.22187874)Skewed
V118 is highly skewed (γ1 = 21.94226378)Skewed
V126 is highly skewed (γ1 = 28.92717083)Skewed
V127 is highly skewed (γ1 = 25.50855897)Skewed
V128 is highly skewed (γ1 = 24.77188326)Skewed
V129 is highly skewed (γ1 = 63.3856744)Skewed
V132 is highly skewed (γ1 = 29.91883341)Skewed
V133 is highly skewed (γ1 = 26.698335)Skewed
V134 is highly skewed (γ1 = 25.83909563)Skewed
V135 is highly skewed (γ1 = 118.4308114)Skewed
V136 is highly skewed (γ1 = 47.47000695)Skewed
V137 is highly skewed (γ1 = 81.36104615)Skewed
V138 is highly skewed (γ1 = 22.36378124)Skewed
V161 is highly skewed (γ1 = 34.5589774)Skewed
V162 is highly skewed (γ1 = 27.099111)Skewed
V163 is highly skewed (γ1 = 32.41265643)Skewed
V166 is highly skewed (γ1 = 33.66665543)Skewed
V196 is highly skewed (γ1 = 20.5327546)Skewed
V205 is highly skewed (γ1 = 26.7893444)Skewed
V206 is highly skewed (γ1 = 82.44049415)Skewed
V207 is highly skewed (γ1 = 20.17275279)Skewed
V208 is highly skewed (γ1 = 28.10172564)Skewed
V214 is highly skewed (γ1 = 91.76156511)Skewed
V215 is highly skewed (γ1 = 36.4838628)Skewed
V216 is highly skewed (γ1 = 73.71280144)Skewed
V217 is highly skewed (γ1 = 22.16085609)Skewed
V219 is highly skewed (γ1 = 20.96739617)Skewed
V221 is highly skewed (γ1 = 61.57050011)Skewed
V222 is highly skewed (γ1 = 54.54966886)Skewed
V224 is highly skewed (γ1 = 30.57013062)Skewed
V225 is highly skewed (γ1 = 27.36248084)Skewed
V226 is highly skewed (γ1 = 36.51275631)Skewed
V227 is highly skewed (γ1 = 101.4966668)Skewed
V229 is highly skewed (γ1 = 29.63834851)Skewed
V231 is highly skewed (γ1 = 22.84356004)Skewed
V232 is highly skewed (γ1 = 21.59455085)Skewed
V233 is highly skewed (γ1 = 22.19642454)Skewed
V240 is highly skewed (γ1 = 70.4620024)Skewed
V241 is highly skewed (γ1 = 93.30356693)Skewed
V243 is highly skewed (γ1 = 25.97431195)Skewed
V245 is highly skewed (γ1 = 79.67157368)Skewed
V247 is highly skewed (γ1 = 23.46343813)Skewed
V248 is highly skewed (γ1 = 35.30440914)Skewed
V249 is highly skewed (γ1 = 30.8727441)Skewed
V252 is highly skewed (γ1 = 24.58455828)Skewed
V253 is highly skewed (γ1 = 41.40176483)Skewed
V254 is highly skewed (γ1 = 38.6482919)Skewed
V255 is highly skewed (γ1 = 46.18426341)Skewed
V256 is highly skewed (γ1 = 43.39732617)Skewed
V259 is highly skewed (γ1 = 65.4798476)Skewed
V263 is highly skewed (γ1 = 32.91335144)Skewed
V264 is highly skewed (γ1 = 23.44828618)Skewed
V265 is highly skewed (γ1 = 25.74156093)Skewed
V266 is highly skewed (γ1 = 60.52875409)Skewed
V267 is highly skewed (γ1 = 37.93202631)Skewed
V268 is highly skewed (γ1 = 35.30274362)Skewed
V269 is highly skewed (γ1 = 61.82279238)Skewed
V270 is highly skewed (γ1 = 32.92005585)Skewed
V271 is highly skewed (γ1 = 27.00774014)Skewed
V272 is highly skewed (γ1 = 30.21740885)Skewed
V273 is highly skewed (γ1 = 21.43899302)Skewed
V275 is highly skewed (γ1 = 20.33991956)Skewed
V276 is highly skewed (γ1 = 94.57862983)Skewed
V277 is highly skewed (γ1 = 75.25375356)Skewed
V278 is highly skewed (γ1 = 87.51488033)Skewed
V279 is highly skewed (γ1 = 29.93984532)Skewed
V280 is highly skewed (γ1 = 24.6709925)Skewed
V290 is highly skewed (γ1 = 35.10621307)Skewed
V291 is highly skewed (γ1 = 51.28536935)Skewed
V292 is highly skewed (γ1 = 52.41324973)Skewed
V293 is highly skewed (γ1 = 30.27462065)Skewed
V294 is highly skewed (γ1 = 23.84926124)Skewed
V295 is highly skewed (γ1 = 25.24705204)Skewed
V305 is highly skewed (γ1 = 297.6205638)Skewed
V306 is highly skewed (γ1 = 28.93693246)Skewed
V307 is highly skewed (γ1 = 23.66748211)Skewed
V308 is highly skewed (γ1 = 24.41355332)Skewed
V309 is highly skewed (γ1 = 52.92965334)Skewed
V311 is highly skewed (γ1 = 87.93581863)Skewed
V316 is highly skewed (γ1 = 29.81535696)Skewed
V317 is highly skewed (γ1 = 24.63242788)Skewed
V318 is highly skewed (γ1 = 25.3912929)Skewed
V319 is highly skewed (γ1 = 166.6460186)Skewed
V320 is highly skewed (γ1 = 90.65714574)Skewed
V321 is highly skewed (γ1 = 133.8131505)Skewed
V334 is highly skewed (γ1 = 61.62811669)Skewed
V336 is highly skewed (γ1 = 25.78384909)Skewed
V337 is highly skewed (γ1 = 80.4127078)Skewed
V338 is highly skewed (γ1 = 32.97351641)Skewed
V339 is highly skewed (γ1 = 57.4807177)Skewed
TransactionID has unique valuesUnique
isFraud has 170821 (96.4%) zerosZeros
dist1 has 5949 (3.4%) zerosZeros
C3 has 176414 (99.6%) zerosZeros
C4 has 135562 (76.5%) zerosZeros
C5 has 111641 (63.0%) zerosZeros
C6 has 14845 (8.4%) zerosZeros
C7 has 157024 (88.6%) zerosZeros
C8 has 134260 (75.8%) zerosZeros
C9 has 55194 (31.2%) zerosZeros
C10 has 135974 (76.8%) zerosZeros
C12 has 146862 (82.9%) zerosZeros
C13 has 10751 (6.1%) zerosZeros
C14 has 10890 (6.1%) zerosZeros
D1 has 83648 (47.2%) zerosZeros
D2 has 4471 (2.5%) zerosZeros
D3 has 22023 (12.4%) zerosZeros
D4 has 49733 (28.1%) zerosZeros
D5 has 19566 (11.0%) zerosZeros
D6 has 13664 (7.7%) zerosZeros
D7 has 6384 (3.6%) zerosZeros
D10 has 66319 (37.4%) zerosZeros
D11 has 33254 (18.8%) zerosZeros
D12 has 12760 (7.2%) zerosZeros
D13 has 14606 (8.2%) zerosZeros
D14 has 13505 (7.6%) zerosZeros
D15 has 52045 (29.4%) zerosZeros
V4 has 16992 (9.6%) zerosZeros
V5 has 16261 (9.2%) zerosZeros
V10 has 50888 (28.7%) zerosZeros
V11 has 50684 (28.6%) zerosZeros
V12 has 69146 (39.0%) zerosZeros
V13 has 65113 (36.8%) zerosZeros
V15 has 135578 (76.5%) zerosZeros
V16 has 135569 (76.5%) zerosZeros
V17 has 134310 (75.8%) zerosZeros
V18 has 134302 (75.8%) zerosZeros
V19 has 30788 (17.4%) zerosZeros
V20 has 29100 (16.4%) zerosZeros
V21 has 134422 (75.9%) zerosZeros
V22 has 134414 (75.9%) zerosZeros
V25 has 4395 (2.5%) zerosZeros
V26 has 3965 (2.2%) zerosZeros
V27 has 154089 (87.0%) zerosZeros
V28 has 154087 (87.0%) zerosZeros
V29 has 95977 (54.2%) zerosZeros
V30 has 95509 (53.9%) zerosZeros
V31 has 132887 (75.0%) zerosZeros
V32 has 132877 (75.0%) zerosZeros
V33 has 134256 (75.8%) zerosZeros
V34 has 133152 (75.2%) zerosZeros
V35 has 58763 (33.2%) zerosZeros
V36 has 55793 (31.5%) zerosZeros
V39 has 107207 (60.5%) zerosZeros
V40 has 107155 (60.5%) zerosZeros
V42 has 107334 (60.6%) zerosZeros
V43 has 107275 (60.6%) zerosZeros
V48 has 78960 (44.6%) zerosZeros
V49 has 78780 (44.5%) zerosZeros
V50 has 105535 (59.6%) zerosZeros
V51 has 105808 (59.7%) zerosZeros
V52 has 105161 (59.4%) zerosZeros
V53 has 66418 (37.5%) zerosZeros
V54 has 62096 (35.1%) zerosZeros
V57 has 134885 (76.1%) zerosZeros
V58 has 134822 (76.1%) zerosZeros
V59 has 134572 (76.0%) zerosZeros
V60 has 134487 (75.9%) zerosZeros
V61 has 29940 (16.9%) zerosZeros
V62 has 28238 (15.9%) zerosZeros
V63 has 134662 (76.0%) zerosZeros
V64 has 134567 (76.0%) zerosZeros
V66 has 4971 (2.8%) zerosZeros
V67 has 4405 (2.5%) zerosZeros
V68 has 153796 (86.8%) zerosZeros
V69 has 95553 (53.9%) zerosZeros
V70 has 95142 (53.7%) zerosZeros
V71 has 133122 (75.1%) zerosZeros
V72 has 133058 (75.1%) zerosZeros
V73 has 133323 (75.3%) zerosZeros
V74 has 132207 (74.6%) zerosZeros
V75 has 69828 (39.4%) zerosZeros
V76 has 65367 (36.9%) zerosZeros
V79 has 130994 (73.9%) zerosZeros
V80 has 130386 (73.6%) zerosZeros
V81 has 130358 (73.6%) zerosZeros
V82 has 26735 (15.1%) zerosZeros
V83 has 25210 (14.2%) zerosZeros
V84 has 130543 (73.7%) zerosZeros
V85 has 130489 (73.7%) zerosZeros
V89 has 150189 (84.8%) zerosZeros
V90 has 91560 (51.7%) zerosZeros
V91 has 91341 (51.6%) zerosZeros
V92 has 128590 (72.6%) zerosZeros
V93 has 128589 (72.6%) zerosZeros
V94 has 129745 (73.2%) zerosZeros
V95 has 153075 (86.4%) zerosZeros
V96 has 109789 (62.0%) zerosZeros
V97 has 136050 (76.8%) zerosZeros
V98 has 167512 (94.6%) zerosZeros
V99 has 121007 (68.3%) zerosZeros
V100 has 148819 (84.0%) zerosZeros
V101 has 166786 (94.1%) zerosZeros
V102 has 160755 (90.7%) zerosZeros
V103 has 164221 (92.7%) zerosZeros
V104 has 169045 (95.4%) zerosZeros
V105 has 164315 (92.7%) zerosZeros
V106 has 167408 (94.5%) zerosZeros
V126 has 153075 (86.4%) zerosZeros
V127 has 109789 (62.0%) zerosZeros
V128 has 136050 (76.8%) zerosZeros
V129 has 167512 (94.6%) zerosZeros
V130 has 121007 (68.3%) zerosZeros
V131 has 148819 (84.0%) zerosZeros
V132 has 166786 (94.1%) zerosZeros
V133 has 160755 (90.7%) zerosZeros
V134 has 164221 (92.7%) zerosZeros
V135 has 169045 (95.4%) zerosZeros
V136 has 164315 (92.7%) zerosZeros
V137 has 167408 (94.5%) zerosZeros
V138 has 24292 (13.7%) zerosZeros
V139 has 6597 (3.7%) zerosZeros
V140 has 6589 (3.7%) zerosZeros
V141 has 23854 (13.5%) zerosZeros
V142 has 23833 (13.5%) zerosZeros
V143 has 19188 (10.8%) zerosZeros
V144 has 18797 (10.6%) zerosZeros
V145 has 18440 (10.4%) zerosZeros
V146 has 22552 (12.7%) zerosZeros
V147 has 22495 (12.7%) zerosZeros
V148 has 6597 (3.7%) zerosZeros
V149 has 6589 (3.7%) zerosZeros
V153 has 6597 (3.7%) zerosZeros
V154 has 6589 (3.7%) zerosZeros
V155 has 6597 (3.7%) zerosZeros
V156 has 6589 (3.7%) zerosZeros
V157 has 6597 (3.7%) zerosZeros
V158 has 6589 (3.7%) zerosZeros
V159 has 20594 (11.6%) zerosZeros
V160 has 19089 (10.8%) zerosZeros
V161 has 23854 (13.5%) zerosZeros
V162 has 23793 (13.4%) zerosZeros
V163 has 23833 (13.5%) zerosZeros
V164 has 19188 (10.8%) zerosZeros
V165 has 18799 (10.6%) zerosZeros
V166 has 18797 (10.6%) zerosZeros
V167 has 31781 (17.9%) zerosZeros
V168 has 30440 (17.2%) zerosZeros
V169 has 39284 (22.2%) zerosZeros
V170 has 2852 (1.6%) zerosZeros
V171 has 2810 (1.6%) zerosZeros
V172 has 38675 (21.8%) zerosZeros
V173 has 39869 (22.5%) zerosZeros
V174 has 37163 (21.0%) zerosZeros
V175 has 37071 (20.9%) zerosZeros
V177 has 36196 (20.4%) zerosZeros
V178 has 35540 (20.1%) zerosZeros
V179 has 35801 (20.2%) zerosZeros
V180 has 36927 (20.8%) zerosZeros
V181 has 37674 (21.3%) zerosZeros
V182 has 36992 (20.9%) zerosZeros
V183 has 37254 (21.0%) zerosZeros
V184 has 38393 (21.7%) zerosZeros
V185 has 37840 (21.4%) zerosZeros
V188 has 2852 (1.6%) zerosZeros
V189 has 2810 (1.6%) zerosZeros
V194 has 2852 (1.6%) zerosZeros
V195 has 2810 (1.6%) zerosZeros
V197 has 2852 (1.6%) zerosZeros
V198 has 2810 (1.6%) zerosZeros
V200 has 2852 (1.6%) zerosZeros
V201 has 2810 (1.6%) zerosZeros
V202 has 31781 (17.9%) zerosZeros
V203 has 29431 (16.6%) zerosZeros
V204 has 30440 (17.2%) zerosZeros
V205 has 38675 (21.8%) zerosZeros
V206 has 39869 (22.5%) zerosZeros
V207 has 36928 (20.8%) zerosZeros
V208 has 37163 (21.0%) zerosZeros
V209 has 36842 (20.8%) zerosZeros
V210 has 37071 (20.9%) zerosZeros
V211 has 36196 (20.4%) zerosZeros
V212 has 35540 (20.1%) zerosZeros
V213 has 35801 (20.2%) zerosZeros
V214 has 37674 (21.3%) zerosZeros
V215 has 36992 (20.9%) zerosZeros
V216 has 37254 (21.0%) zerosZeros
V217 has 29492 (16.6%) zerosZeros
V218 has 27090 (15.3%) zerosZeros
V219 has 28316 (16.0%) zerosZeros
V220 has 39950 (22.5%) zerosZeros
V221 has 9732 (5.5%) zerosZeros
V222 has 9709 (5.5%) zerosZeros
V223 has 36217 (20.4%) zerosZeros
V224 has 33711 (19.0%) zerosZeros
V225 has 34961 (19.7%) zerosZeros
V226 has 36749 (20.7%) zerosZeros
V227 has 38583 (21.8%) zerosZeros
V231 has 33822 (19.1%) zerosZeros
V232 has 33122 (18.7%) zerosZeros
V233 has 33483 (18.9%) zerosZeros
V234 has 36162 (20.4%) zerosZeros
V235 has 35389 (20.0%) zerosZeros
V236 has 34725 (19.6%) zerosZeros
V237 has 35075 (19.8%) zerosZeros
V238 has 39076 (22.1%) zerosZeros
V239 has 38946 (22.0%) zerosZeros
V245 has 9732 (5.5%) zerosZeros
V250 has 9732 (5.5%) zerosZeros
V251 has 9709 (5.5%) zerosZeros
V255 has 9732 (5.5%) zerosZeros
V256 has 9709 (5.5%) zerosZeros
V259 has 9732 (5.5%) zerosZeros
V260 has 2996 (1.7%) zerosZeros
V261 has 2810 (1.6%) zerosZeros
V262 has 2917 (1.6%) zerosZeros
V263 has 29492 (16.6%) zerosZeros
V264 has 27090 (15.3%) zerosZeros
V265 has 28316 (16.0%) zerosZeros
V266 has 36217 (20.4%) zerosZeros
V267 has 33711 (19.0%) zerosZeros
V268 has 34961 (19.7%) zerosZeros
V269 has 38523 (21.7%) zerosZeros
V270 has 38640 (21.8%) zerosZeros
V271 has 38478 (21.7%) zerosZeros
V272 has 38583 (21.8%) zerosZeros
V273 has 33822 (19.1%) zerosZeros
V274 has 33122 (18.7%) zerosZeros
V275 has 33483 (18.9%) zerosZeros
V276 has 35389 (20.0%) zerosZeros
V277 has 34725 (19.6%) zerosZeros
V278 has 35075 (19.8%) zerosZeros
V279 has 147375 (83.2%) zerosZeros
V280 has 126341 (71.3%) zerosZeros
V281 has 168355 (95.0%) zerosZeros
V282 has 63989 (36.1%) zerosZeros
V283 has 63590 (35.9%) zerosZeros
V284 has 163458 (92.3%) zerosZeros
V285 has 106063 (59.9%) zerosZeros
V286 has 171978 (97.1%) zerosZeros
V287 has 139724 (78.9%) zerosZeros
V288 has 146727 (82.8%) zerosZeros
V289 has 145977 (82.4%) zerosZeros
V293 has 163751 (92.4%) zerosZeros
V294 has 155682 (87.9%) zerosZeros
V295 has 160275 (90.5%) zerosZeros
V296 has 160956 (90.9%) zerosZeros
V297 has 168816 (95.3%) zerosZeros
V298 has 162819 (91.9%) zerosZeros
V299 has 166661 (94.1%) zerosZeros
V300 has 170825 (96.4%) zerosZeros
V301 has 170217 (96.1%) zerosZeros
V302 has 135049 (76.2%) zerosZeros
V303 has 134825 (76.1%) zerosZeros
V304 has 134934 (76.2%) zerosZeros
V306 has 147375 (83.2%) zerosZeros
V307 has 94536 (53.4%) zerosZeros
V308 has 126341 (71.3%) zerosZeros
V309 has 163458 (92.3%) zerosZeros
V310 has 106063 (59.9%) zerosZeros
V311 has 171978 (97.1%) zerosZeros
V312 has 139724 (78.9%) zerosZeros
V313 has 146727 (82.8%) zerosZeros
V314 has 141798 (80.0%) zerosZeros
V315 has 145977 (82.4%) zerosZeros
V316 has 163751 (92.4%) zerosZeros
V317 has 155682 (87.9%) zerosZeros
V318 has 160275 (90.5%) zerosZeros
V319 has 168816 (95.3%) zerosZeros
V320 has 162819 (91.9%) zerosZeros
V321 has 166661 (94.1%) zerosZeros
V322 has 19908 (11.2%) zerosZeros
V323 has 18375 (10.4%) zerosZeros
V324 has 19005 (10.7%) zerosZeros
V325 has 23717 (13.4%) zerosZeros
V326 has 21957 (12.4%) zerosZeros
V327 has 22656 (12.8%) zerosZeros
V328 has 22171 (12.5%) zerosZeros
V329 has 21782 (12.3%) zerosZeros
V330 has 21971 (12.4%) zerosZeros
V331 has 19908 (11.2%) zerosZeros
V332 has 18375 (10.4%) zerosZeros
V333 has 19005 (10.7%) zerosZeros
V334 has 23717 (13.4%) zerosZeros
V335 has 21957 (12.4%) zerosZeros
V336 has 22656 (12.8%) zerosZeros
V337 has 22171 (12.5%) zerosZeros
V338 has 21782 (12.3%) zerosZeros
V339 has 21971 (12.4%) zerosZeros
id_01 has 5933 (3.3%) zerosZeros
id_03 has 19271 (10.9%) zerosZeros
id_04 has 19822 (11.2%) zerosZeros
id_05 has 27902 (15.7%) zerosZeros
id_06 has 27472 (15.5%) zerosZeros
id_09 has 21220 (12.0%) zerosZeros
id_10 has 21995 (12.4%) zerosZeros

Reproduction

Analysis started2025-10-29 16:20:15.594512
Analysis finished2025-10-29 16:20:23.662080
Duration8.07 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

TransactionID
Real number (ℝ)

Unique 

Distinct177162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3282277.024
Minimum2987000
Maximum3577539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:23.784665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2987000
5-th percentile3017012.2
Q13135047
median3282265
Q33429272.75
95-th percentile3548079.75
Maximum3577539
Range590539
Interquartile range (IQR)294225.75

Descriptive statistics

Standard deviation170279.3467
Coefficient of variation (CV)0.05187842021
Kurtosis-1.198472267
Mean3282277.024
Median Absolute Deviation (MAD)147106.5
Skewness-0.001280234235
Sum5.814947621 × 1011
Variance2.899505591 × 1010
MonotonicityNot monotonic
2025-10-30T00:20:23.837493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34576241
 
< 0.1%
30055161
 
< 0.1%
33607801
 
< 0.1%
32322031
 
< 0.1%
34377601
 
< 0.1%
35164221
 
< 0.1%
35153851
 
< 0.1%
29923071
 
< 0.1%
31785821
 
< 0.1%
32471681
 
< 0.1%
Other values (177152)177152
> 99.9%
ValueCountFrequency (%)
29870001
< 0.1%
29870021
< 0.1%
29870061
< 0.1%
29870071
< 0.1%
29870121
< 0.1%
ValueCountFrequency (%)
35775391
< 0.1%
35775311
< 0.1%
35775291
< 0.1%
35775191
< 0.1%
35775181
< 0.1%

isFraud
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03579209989
Minimum0
Maximum1
Zeros170821
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:23.873504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1857719577
Coefficient of variation (CV)5.190306193
Kurtosis22.97692938
Mean0.03579209989
Median Absolute Deviation (MAD)0
Skewness4.997666455
Sum6341
Variance0.03451122027
MonotonicityNot monotonic
2025-10-30T00:20:23.904195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0170821
96.4%
16341
 
3.6%
ValueCountFrequency (%)
0170821
96.4%
16341
 
3.6%
ValueCountFrequency (%)
16341
 
3.6%
0170821
96.4%

TransactionDT
Real number (ℝ)

Distinct175575
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7371820.367
Minimum86400
Maximum15811131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:23.945144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum86400
5-th percentile758164.85
Q13032964.25
median7306307
Q311230170.25
95-th percentile14858494.2
Maximum15811131
Range15724731
Interquartile range (IQR)8197206

Descriptive statistics

Standard deviation4611526.463
Coefficient of variation (CV)0.6255614263
Kurtosis-1.227353769
Mean7371820.367
Median Absolute Deviation (MAD)4115639
Skewness0.1300510891
Sum1.30600644 × 1012
Variance2.126617632 × 1013
MonotonicityNot monotonic
2025-10-30T00:20:23.999173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21249173
 
< 0.1%
116345513
 
< 0.1%
80087953
 
< 0.1%
139713363
 
< 0.1%
25763783
 
< 0.1%
73271983
 
< 0.1%
121736013
 
< 0.1%
89006273
 
< 0.1%
87075293
 
< 0.1%
43970663
 
< 0.1%
Other values (175565)177132
> 99.9%
ValueCountFrequency (%)
864001
< 0.1%
864691
< 0.1%
865221
< 0.1%
865291
< 0.1%
865641
< 0.1%
ValueCountFrequency (%)
158111311
< 0.1%
158109351
< 0.1%
158109121
< 0.1%
158107741
< 0.1%
158107601
< 0.1%

TransactionAmt
Real number (ℝ)

Distinct10724
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.3450236
Minimum0.251
Maximum31937.391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.048255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.251
5-th percentile20
Q143.2125
median68.95
Q3125
95-th percentile445
Maximum31937.391
Range31937.14
Interquartile range (IQR)81.7875

Descriptive statistics

Standard deviation247.1987796
Coefficient of variation (CV)1.826434197
Kurtosis1610.407697
Mean135.3450236
Median Absolute Deviation (MAD)38.96
Skewness18.27056002
Sum23977995.08
Variance61107.23665
MonotonicityNot monotonic
2025-10-30T00:20:24.097222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
599218
 
5.2%
1178755
 
4.9%
107.957349
 
4.1%
57.957110
 
4.0%
1006179
 
3.5%
505097
 
2.9%
494836
 
2.7%
2263525
 
2.0%
393368
 
1.9%
293185
 
1.8%
Other values (10714)118540
66.9%
ValueCountFrequency (%)
0.2511
< 0.1%
0.2921
< 0.1%
0.351
< 0.1%
0.4241
< 0.1%
0.4671
< 0.1%
ValueCountFrequency (%)
31937.3911
< 0.1%
6085.231
< 0.1%
5278.951
< 0.1%
5277.951
< 0.1%
51912
< 0.1%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.133895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters177162
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowW
4th rowC
5th rowW
ValueCountFrequency (%)
w131874
74.4%
c20467
 
11.6%
r11363
 
6.4%
h9915
 
5.6%
s3543
 
2.0%
2025-10-30T00:20:24.209321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
W131874
74.4%
C20467
 
11.6%
R11363
 
6.4%
H9915
 
5.6%
S3543
 
2.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)177162
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W131874
74.4%
C20467
 
11.6%
R11363
 
6.4%
H9915
 
5.6%
S3543
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)177162
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W131874
74.4%
C20467
 
11.6%
R11363
 
6.4%
H9915
 
5.6%
S3543
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)177162
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W131874
74.4%
C20467
 
11.6%
R11363
 
6.4%
H9915
 
5.6%
S3543
 
2.0%

card1
Real number (ℝ)

Distinct9475
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9897.964264
Minimum1006
Maximum18396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.249613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1006
5-th percentile2039
Q16019
median9678
Q314207.5
95-th percentile17306
Maximum18396
Range17390
Interquartile range (IQR)8188.5

Descriptive statistics

Standard deviation4906.111096
Coefficient of variation (CV)0.4956687017
Kurtosis-1.138117668
Mean9897.964264
Median Absolute Deviation (MAD)4043.5
Skewness-0.04119991376
Sum1753543145
Variance24069926.09
MonotonicityNot monotonic
2025-10-30T00:20:24.297277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79194448
 
2.5%
95004246
 
2.4%
158853123
 
1.8%
171883080
 
1.7%
150662355
 
1.3%
126952137
 
1.2%
60192034
 
1.1%
125442027
 
1.1%
28031782
 
1.0%
75851591
 
0.9%
Other values (9465)150339
84.9%
ValueCountFrequency (%)
10061
 
< 0.1%
10072
< 0.1%
10081
 
< 0.1%
10111
 
< 0.1%
10123
< 0.1%
ValueCountFrequency (%)
183961
 
< 0.1%
183954
 
< 0.1%
183931
 
< 0.1%
1839023
< 0.1%
183881
 
< 0.1%

card2
Real number (ℝ)

Missing 

Distinct500
Distinct (%)0.3%
Missing2622
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean362.4108628
Minimum100
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.349161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile111
Q1215
median361
Q3512
95-th percentile567
Maximum600
Range500
Interquartile range (IQR)297

Descriptive statistics

Standard deviation157.7739731
Coefficient of variation (CV)0.4353455962
Kurtosis-1.334018842
Mean362.4108628
Median Absolute Deviation (MAD)151
Skewness-0.1985540145
Sum63255192
Variance24892.6266
MonotonicityNot monotonic
2025-10-30T00:20:24.403697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32114657
 
8.3%
11113624
 
7.7%
55512616
 
7.1%
49011297
 
6.4%
5836473
 
3.7%
1705468
 
3.1%
1945022
 
2.8%
5454943
 
2.8%
3604636
 
2.6%
5144404
 
2.5%
Other values (490)91400
51.6%
ValueCountFrequency (%)
1002216
1.3%
10146
 
< 0.1%
102102
 
0.1%
1031062
0.6%
104218
 
0.1%
ValueCountFrequency (%)
60052
< 0.1%
599128
0.1%
59824
 
< 0.1%
59720
 
< 0.1%
59652
< 0.1%

card3
Real number (ℝ)

Distinct95
Distinct (%)0.1%
Missing460
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean153.1922729
Minimum100
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.452458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile150
Q1150
median150
Q3150
95-th percentile185
Maximum231
Range131
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.32517124
Coefficient of variation (CV)0.07392782301
Kurtosis6.343821924
Mean153.1922729
Median Absolute Deviation (MAD)0
Skewness2.039680205
Sum27069381
Variance128.2595035
MonotonicityNot monotonic
2025-10-30T00:20:24.502954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150156485
88.3%
18516835
 
9.5%
106451
 
0.3%
144371
 
0.2%
146353
 
0.2%
117303
 
0.2%
143255
 
0.1%
119232
 
0.1%
102142
 
0.1%
147110
 
0.1%
Other values (85)1165
 
0.7%
(Missing)460
 
0.3%
ValueCountFrequency (%)
10047
 
< 0.1%
102142
 
0.1%
1051
 
< 0.1%
106451
0.3%
1071
 
< 0.1%
ValueCountFrequency (%)
2313
 
< 0.1%
22932
< 0.1%
2281
 
< 0.1%
2277
 
< 0.1%
2261
 
< 0.1%

card4
Text

Distinct4
Distinct (%)< 0.1%
Missing463
Missing (%)0.3%
Memory size1.4 MiB
2025-10-30T00:20:24.552641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16
Median length4
Mean length6.147290024
Min length4

Characters and Unicode

Total characters1086220
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmastercard
2nd rowvisa
3rd rowmastercard
4th rowvisa
5th rowvisa
ValueCountFrequency (%)
visa115320
64.3%
mastercard56882
31.7%
american2518
 
1.4%
express2518
 
1.4%
discover1979
 
1.1%
2025-10-30T00:20:24.633971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a234120
21.6%
s179217
16.5%
r120779
11.1%
i119817
11.0%
v117299
10.8%
e66415
 
6.1%
c61379
 
5.7%
m59400
 
5.5%
d58861
 
5.4%
t56882
 
5.2%
Other values (5)12051
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)1086220
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a234120
21.6%
s179217
16.5%
r120779
11.1%
i119817
11.0%
v117299
10.8%
e66415
 
6.1%
c61379
 
5.7%
m59400
 
5.5%
d58861
 
5.4%
t56882
 
5.2%
Other values (5)12051
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)1086220
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a234120
21.6%
s179217
16.5%
r120779
11.1%
i119817
11.0%
v117299
10.8%
e66415
 
6.1%
c61379
 
5.7%
m59400
 
5.5%
d58861
 
5.4%
t56882
 
5.2%
Other values (5)12051
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)1086220
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a234120
21.6%
s179217
16.5%
r120779
11.1%
i119817
11.0%
v117299
10.8%
e66415
 
6.1%
c61379
 
5.7%
m59400
 
5.5%
d58861
 
5.4%
t56882
 
5.2%
Other values (5)12051
 
1.1%

card5
Real number (ℝ)

Distinct95
Distinct (%)0.1%
Missing1245
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean199.1646629
Minimum100
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.680820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile102
Q1166
median226
Q3226
95-th percentile226
Maximum237
Range137
Interquartile range (IQR)60

Descriptive statistics

Standard deviation41.32965512
Coefficient of variation (CV)0.2075150005
Kurtosis-0.06582625596
Mean199.1646629
Median Absolute Deviation (MAD)0
Skewness-1.218403092
Sum35036450
Variance1708.140392
MonotonicityNot monotonic
2025-10-30T00:20:24.729954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22688791
50.1%
22424434
 
13.8%
16617128
 
9.7%
1028806
 
5.0%
1177834
 
4.4%
1385981
 
3.4%
1955090
 
2.9%
1373533
 
2.0%
1263123
 
1.8%
2193022
 
1.7%
Other values (85)8175
 
4.6%
ValueCountFrequency (%)
100283
 
0.2%
1013
 
< 0.1%
1028806
5.0%
1044
 
< 0.1%
1052
 
< 0.1%
ValueCountFrequency (%)
23714
 
< 0.1%
236204
0.1%
2335
 
< 0.1%
23221
 
< 0.1%
2311
 
< 0.1%

card6
Text

Distinct4
Distinct (%)< 0.1%
Missing461
Missing (%)0.3%
Memory size1.4 MiB
2025-10-30T00:20:24.775367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.253399811
Min length5

Characters and Unicode

Total characters928281
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdebit
2nd rowdebit
3rd rowdebit
4th rowdebit
5th rowdebit
ValueCountFrequency (%)
debit132030
74.7%
credit44674
 
25.3%
or8
 
< 0.1%
charge5
 
< 0.1%
card5
 
< 0.1%
2025-10-30T00:20:24.850848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d176709
19.0%
e176709
19.0%
i176704
19.0%
t176704
19.0%
b132030
14.2%
r44692
 
4.8%
c44684
 
4.8%
21
 
< 0.1%
a10
 
< 0.1%
o8
 
< 0.1%
Other values (2)10
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)928281
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
d176709
19.0%
e176709
19.0%
i176704
19.0%
t176704
19.0%
b132030
14.2%
r44692
 
4.8%
c44684
 
4.8%
21
 
< 0.1%
a10
 
< 0.1%
o8
 
< 0.1%
Other values (2)10
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)928281
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
d176709
19.0%
e176709
19.0%
i176704
19.0%
t176704
19.0%
b132030
14.2%
r44692
 
4.8%
c44684
 
4.8%
21
 
< 0.1%
a10
 
< 0.1%
o8
 
< 0.1%
Other values (2)10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)928281
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
d176709
19.0%
e176709
19.0%
i176704
19.0%
t176704
19.0%
b132030
14.2%
r44692
 
4.8%
c44684
 
4.8%
21
 
< 0.1%
a10
 
< 0.1%
o8
 
< 0.1%
Other values (2)10
 
< 0.1%

addr1
Real number (ℝ)

Missing 

Distinct207
Distinct (%)0.1%
Missing19587
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean290.4351134
Minimum100
Maximum536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.893359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile126
Q1204
median299
Q3330
95-th percentile485
Maximum536
Range436
Interquartile range (IQR)126

Descriptive statistics

Standard deviation101.5877598
Coefficient of variation (CV)0.3497778165
Kurtosis-0.4984806399
Mean290.4351134
Median Absolute Deviation (MAD)73
Skewness0.3717040478
Sum45765313
Variance10320.07295
MonotonicityNot monotonic
2025-10-30T00:20:24.945663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29913961
 
7.9%
32512941
 
7.3%
20412795
 
7.2%
26411835
 
6.7%
3307920
 
4.5%
3156946
 
3.9%
4416261
 
3.5%
2726045
 
3.4%
1234832
 
2.7%
3374601
 
2.6%
Other values (197)69438
39.2%
(Missing)19587
 
11.1%
ValueCountFrequency (%)
1005
< 0.1%
1023
< 0.1%
1044
< 0.1%
1051
 
< 0.1%
1065
< 0.1%
ValueCountFrequency (%)
53690
0.1%
5351
 
< 0.1%
5311
 
< 0.1%
5231
 
< 0.1%
5221
 
< 0.1%

addr2
Real number (ℝ)

Missing 

Distinct53
Distinct (%)< 0.1%
Missing19587
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean86.80507695
Minimum10
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:24.993062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile87
Q187
median87
Q387
95-th percentile87
Maximum102
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.614538217
Coefficient of variation (CV)0.03011964632
Kurtosis246.8956662
Mean86.80507695
Median Absolute Deviation (MAD)0
Skewness-14.18408599
Sum13678310
Variance6.835810086
MonotonicityNot monotonic
2025-10-30T00:20:25.040893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87156265
88.2%
60944
 
0.5%
96189
 
0.1%
3227
 
< 0.1%
6525
 
< 0.1%
3110
 
< 0.1%
199
 
< 0.1%
168
 
< 0.1%
597
 
< 0.1%
346
 
< 0.1%
Other values (43)85
 
< 0.1%
(Missing)19587
 
11.1%
ValueCountFrequency (%)
104
< 0.1%
133
 
< 0.1%
168
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
ValueCountFrequency (%)
1025
< 0.1%
1011
 
< 0.1%
1001
 
< 0.1%
983
< 0.1%
971
 
< 0.1%

dist1
Real number (ℝ)

Missing  Zeros 

Distinct2082
Distinct (%)2.9%
Missing105618
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean116.8092083
Minimum0
Maximum8081
Zeros5949
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:25.087646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q324
95-th percentile831
Maximum8081
Range8081
Interquartile range (IQR)21

Descriptive statistics

Standard deviation369.5570677
Coefficient of variation (CV)3.163766564
Kurtosis37.03234991
Mean116.8092083
Median Absolute Deviation (MAD)7
Skewness5.14655673
Sum8356998
Variance136572.4263
MonotonicityNot monotonic
2025-10-30T00:20:25.144356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05949
 
3.4%
15479
 
3.1%
25033
 
2.8%
33940
 
2.2%
43937
 
2.2%
53658
 
2.1%
62981
 
1.7%
72794
 
1.6%
82421
 
1.4%
92322
 
1.3%
Other values (2072)33030
 
18.6%
(Missing)105618
59.6%
ValueCountFrequency (%)
05949
3.4%
15479
3.1%
25033
2.8%
33940
2.2%
43937
2.2%
ValueCountFrequency (%)
80811
< 0.1%
70681
< 0.1%
66891
< 0.1%
64662
< 0.1%
54311
< 0.1%

dist2
Real number (ℝ)

Missing 

Distinct1100
Distinct (%)9.8%
Missing165973
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean233.4219323
Minimum0
Maximum11623
Zeros1037
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:25.196249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median38
Q3214
95-th percentile1043.4
Maximum11623
Range11623
Interquartile range (IQR)207

Descriptive statistics

Standard deviation526.7243529
Coefficient of variation (CV)2.256533256
Kurtosis60.78399618
Mean233.4219323
Median Absolute Deviation (MAD)38
Skewness5.937069324
Sum2611758
Variance277438.5439
MonotonicityNot monotonic
2025-10-30T00:20:25.248915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71685
 
1.0%
01037
 
0.6%
1419
 
0.2%
9225
 
0.1%
4179
 
0.1%
2171
 
0.1%
3157
 
0.1%
68139
 
0.1%
6125
 
0.1%
13117
 
0.1%
Other values (1090)6935
 
3.9%
(Missing)165973
93.7%
ValueCountFrequency (%)
01037
0.6%
1419
0.2%
2171
 
0.1%
3157
 
0.1%
4179
 
0.1%
ValueCountFrequency (%)
116231
< 0.1%
73801
< 0.1%
71791
< 0.1%
71041
< 0.1%
69832
< 0.1%

P_emaildomain
Text

Missing 

Distinct59
Distinct (%)< 0.1%
Missing28616
Missing (%)16.2%
Memory size1.4 MiB
2025-10-30T00:20:25.335043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16
Median length9
Mean length9.478296285
Min length5

Characters and Unicode

Total characters1407963
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowaol.com
2nd rowyahoo.com
3rd rowgmail.com
4th rowgmail.com
5th rowhotmail.com
ValueCountFrequency (%)
gmail.com68328
46.0%
yahoo.com30095
20.3%
hotmail.com13520
 
9.1%
anonymous.com11185
 
7.5%
aol.com8547
 
5.8%
comcast.net2368
 
1.6%
icloud.com1904
 
1.3%
outlook.com1545
 
1.0%
msn.com1241
 
0.8%
att.net1204
 
0.8%
Other values (49)8609
 
5.8%
2025-10-30T00:20:25.456059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o259895
18.5%
m240270
17.1%
.149294
10.6%
c149214
10.6%
a139227
9.9%
l100275
 
7.1%
i88312
 
6.3%
g69443
 
4.9%
h45390
 
3.2%
y42752
 
3.0%
Other values (18)123891
8.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)1407963
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o259895
18.5%
m240270
17.1%
.149294
10.6%
c149214
10.6%
a139227
9.9%
l100275
 
7.1%
i88312
 
6.3%
g69443
 
4.9%
h45390
 
3.2%
y42752
 
3.0%
Other values (18)123891
8.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)1407963
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o259895
18.5%
m240270
17.1%
.149294
10.6%
c149214
10.6%
a139227
9.9%
l100275
 
7.1%
i88312
 
6.3%
g69443
 
4.9%
h45390
 
3.2%
y42752
 
3.0%
Other values (18)123891
8.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)1407963
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o259895
18.5%
m240270
17.1%
.149294
10.6%
c149214
10.6%
a139227
9.9%
l100275
 
7.1%
i88312
 
6.3%
g69443
 
4.9%
h45390
 
3.2%
y42752
 
3.0%
Other values (18)123891
8.8%

R_emaildomain
Text

Missing 

Distinct60
Distinct (%)0.1%
Missing135987
Missing (%)76.8%
Memory size1.4 MiB
2025-10-30T00:20:25.542397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16
Median length9
Mean length10.08684882
Min length5

Characters and Unicode

Total characters415326
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowgmail.com
2nd rowicloud.com
3rd rowyahoo.com
4th rowanonymous.com
5th rowgmail.com
ValueCountFrequency (%)
gmail.com17231
41.8%
hotmail.com8243
20.0%
anonymous.com6195
 
15.0%
yahoo.com3489
 
8.5%
aol.com1103
 
2.7%
outlook.com745
 
1.8%
comcast.net536
 
1.3%
yahoo.com.mx447
 
1.1%
icloud.com439
 
1.1%
msn.com257
 
0.6%
Other values (50)2490
 
6.0%
2025-10-30T00:20:25.675594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o73663
17.7%
m72991
17.6%
.41944
10.1%
c41117
9.9%
a38256
9.2%
l29438
 
7.1%
i27163
 
6.5%
g17521
 
4.2%
n14587
 
3.5%
h12695
 
3.1%
Other values (18)45951
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)415326
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o73663
17.7%
m72991
17.6%
.41944
10.1%
c41117
9.9%
a38256
9.2%
l29438
 
7.1%
i27163
 
6.5%
g17521
 
4.2%
n14587
 
3.5%
h12695
 
3.1%
Other values (18)45951
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)415326
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o73663
17.7%
m72991
17.6%
.41944
10.1%
c41117
9.9%
a38256
9.2%
l29438
 
7.1%
i27163
 
6.5%
g17521
 
4.2%
n14587
 
3.5%
h12695
 
3.1%
Other values (18)45951
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)415326
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o73663
17.7%
m72991
17.6%
.41944
10.1%
c41117
9.9%
a38256
9.2%
l29438
 
7.1%
i27163
 
6.5%
g17521
 
4.2%
n14587
 
3.5%
h12695
 
3.1%
Other values (18)45951
11.1%

C1
Real number (ℝ)

Skewed 

Distinct871
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.3360653
Minimum0
Maximum4668
Zeros156
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:25.723286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile24
Maximum4668
Range4668
Interquartile range (IQR)2

Descriptive statistics

Standard deviation134.8926253
Coefficient of variation (CV)9.409319961
Kurtosis660.1617579
Mean14.3360653
Median Absolute Deviation (MAD)0
Skewness23.74243678
Sum2539806
Variance18196.02037
MonotonicityNot monotonic
2025-10-30T00:20:25.773669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194984
53.6%
231472
 
17.8%
315340
 
8.7%
48568
 
4.8%
55391
 
3.0%
63105
 
1.8%
72201
 
1.2%
81569
 
0.9%
91114
 
0.6%
10891
 
0.5%
Other values (861)12527
 
7.1%
ValueCountFrequency (%)
0156
 
0.1%
194984
53.6%
231472
 
17.8%
315340
 
8.7%
48568
 
4.8%
ValueCountFrequency (%)
46681
< 0.1%
46651
< 0.1%
46631
< 0.1%
46621
< 0.1%
46611
< 0.1%

C2
Real number (ℝ)

Skewed 

Distinct772
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.58151861
Minimum0
Maximum5624
Zeros140
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:25.821161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile29
Maximum5624
Range5624
Interquartile range (IQR)2

Descriptive statistics

Standard deviation156.4992304
Coefficient of variation (CV)10.043901
Kurtosis644.4708738
Mean15.58151861
Median Absolute Deviation (MAD)0
Skewness23.42437172
Sum2760453
Variance24492.00911
MonotonicityNot monotonic
2025-10-30T00:20:25.876102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194736
53.5%
231275
 
17.7%
315498
 
8.7%
48438
 
4.8%
55081
 
2.9%
63154
 
1.8%
72271
 
1.3%
81530
 
0.9%
91155
 
0.7%
10856
 
0.5%
Other values (762)13168
 
7.4%
ValueCountFrequency (%)
0140
 
0.1%
194736
53.5%
231275
 
17.7%
315498
 
8.7%
48438
 
4.8%
ValueCountFrequency (%)
56241
 
< 0.1%
56211
 
< 0.1%
56204
< 0.1%
56142
< 0.1%
55983
< 0.1%

C3
Real number (ℝ)

Skewed  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005407480159
Minimum0
Maximum25
Zeros176414
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:25.915409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136001033
Coefficient of variation (CV)25.15053759
Kurtosis17274.35247
Mean0.005407480159
Median Absolute Deviation (MAD)0
Skewness108.1235622
Sum958
Variance0.01849628098
MonotonicityNot monotonic
2025-10-30T00:20:25.950897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0176414
99.6%
1660
 
0.4%
261
 
< 0.1%
317
 
< 0.1%
52
 
< 0.1%
42
 
< 0.1%
221
 
< 0.1%
161
 
< 0.1%
111
 
< 0.1%
241
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
0176414
99.6%
1660
 
0.4%
261
 
< 0.1%
317
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
251
< 0.1%
241
< 0.1%
221
< 0.1%
161
< 0.1%
111
< 0.1%

C4
Real number (ℝ)

Skewed  Zeros 

Distinct612
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.205258464
Minimum0
Maximum2240
Zeros135562
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:25.995922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2240
Range2240
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.69529902
Coefficient of variation (CV)16.57336871
Kurtosis531.5201595
Mean4.205258464
Median Absolute Deviation (MAD)0
Skewness21.79898823
Sum745012
Variance4857.434706
MonotonicityNot monotonic
2025-10-30T00:20:26.044749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0135562
76.5%
133515
 
18.9%
23921
 
2.2%
31467
 
0.8%
4560
 
0.3%
5249
 
0.1%
6179
 
0.1%
7112
 
0.1%
976
 
< 0.1%
1068
 
< 0.1%
Other values (602)1453
 
0.8%
ValueCountFrequency (%)
0135562
76.5%
133515
 
18.9%
23921
 
2.2%
31467
 
0.8%
4560
 
0.3%
ValueCountFrequency (%)
22401
< 0.1%
22371
< 0.1%
22361
< 0.1%
22352
< 0.1%
22341
< 0.1%

C5
Real number (ℝ)

Zeros 

Distinct302
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.637450469
Minimum0
Maximum335
Zeros111641
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.095203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum335
Range335
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.0527944
Coefficient of variation (CV)4.621378856
Kurtosis36.09533903
Mean5.637450469
Median Absolute Deviation (MAD)0
Skewness5.797455784
Sum998742
Variance678.748096
MonotonicityNot monotonic
2025-10-30T00:20:26.144771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0111641
63.0%
136743
 
20.7%
210396
 
5.9%
34025
 
2.3%
42068
 
1.2%
51122
 
0.6%
6932
 
0.5%
7571
 
0.3%
8434
 
0.2%
9318
 
0.2%
Other values (292)8912
 
5.0%
ValueCountFrequency (%)
0111641
63.0%
136743
 
20.7%
210396
 
5.9%
34025
 
2.3%
42068
 
1.2%
ValueCountFrequency (%)
3351
< 0.1%
3331
< 0.1%
3241
< 0.1%
3191
< 0.1%
3161
< 0.1%

C6
Real number (ℝ)

Zeros 

Distinct728
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.221717976
Minimum0
Maximum2240
Zeros14845
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.193968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile15
Maximum2240
Range2240
Interquartile range (IQR)1

Descriptive statistics

Standard deviation72.38885988
Coefficient of variation (CV)7.849823653
Kurtosis453.8924657
Mean9.221717976
Median Absolute Deviation (MAD)0
Skewness19.52998669
Sum1633738
Variance5240.147035
MonotonicityNot monotonic
2025-10-30T00:20:26.245131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1102170
57.7%
225958
 
14.7%
014845
 
8.4%
310544
 
6.0%
45276
 
3.0%
53096
 
1.7%
61826
 
1.0%
71208
 
0.7%
8962
 
0.5%
9688
 
0.4%
Other values (718)10589
 
6.0%
ValueCountFrequency (%)
014845
 
8.4%
1102170
57.7%
225958
 
14.7%
310544
 
6.0%
45276
 
3.0%
ValueCountFrequency (%)
22401
< 0.1%
22371
< 0.1%
22361
< 0.1%
22352
< 0.1%
22341
< 0.1%

C7
Real number (ℝ)

Skewed  Zeros 

Distinct466
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.907615629
Minimum0
Maximum2242
Zeros157024
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.297944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2242
Range2242
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.13637359
Coefficient of variation (CV)21.37021585
Kurtosis790.3403249
Mean2.907615629
Median Absolute Deviation (MAD)0
Skewness27.07845434
Sum515119
Variance3860.928923
MonotonicityNot monotonic
2025-10-30T00:20:26.349423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0157024
88.6%
115493
 
8.7%
22220
 
1.3%
3594
 
0.3%
4291
 
0.2%
5149
 
0.1%
6124
 
0.1%
781
 
< 0.1%
963
 
< 0.1%
1055
 
< 0.1%
Other values (456)1068
 
0.6%
ValueCountFrequency (%)
0157024
88.6%
115493
 
8.7%
22220
 
1.3%
3594
 
0.3%
4291
 
0.2%
ValueCountFrequency (%)
22421
< 0.1%
22391
< 0.1%
22381
< 0.1%
22372
< 0.1%
22361
< 0.1%

C8
Real number (ℝ)

Skewed  Zeros 

Distinct596
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.253959653
Minimum0
Maximum3317
Zeros134260
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.398695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3317
Range3317
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.97572792
Coefficient of variation (CV)18.26731347
Kurtosis737.3590212
Mean5.253959653
Median Absolute Deviation (MAD)0
Skewness25.93634767
Sum930802
Variance9211.340351
MonotonicityNot monotonic
2025-10-30T00:20:26.448518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0134260
75.8%
131422
 
17.7%
24849
 
2.7%
31659
 
0.9%
4841
 
0.5%
8543
 
0.3%
6525
 
0.3%
5512
 
0.3%
7299
 
0.2%
9193
 
0.1%
Other values (586)2059
 
1.2%
ValueCountFrequency (%)
0134260
75.8%
131422
 
17.7%
24849
 
2.7%
31659
 
0.9%
4841
 
0.5%
ValueCountFrequency (%)
33171
 
< 0.1%
33111
 
< 0.1%
33094
< 0.1%
33041
 
< 0.1%
33001
 
< 0.1%

C9
Real number (ℝ)

Zeros 

Distinct196
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.51352999
Minimum0
Maximum210
Zeros55194
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.502152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum210
Range210
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.79116885
Coefficient of variation (CV)3.720185506
Kurtosis35.71733646
Mean4.51352999
Median Absolute Deviation (MAD)1
Skewness5.700061837
Sum799626
Variance281.9433514
MonotonicityNot monotonic
2025-10-30T00:20:26.549780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168537
38.7%
055194
31.2%
223312
 
13.2%
39727
 
5.5%
44850
 
2.7%
52573
 
1.5%
61801
 
1.0%
71067
 
0.6%
8783
 
0.4%
9580
 
0.3%
Other values (186)8738
 
4.9%
ValueCountFrequency (%)
055194
31.2%
168537
38.7%
223312
 
13.2%
39727
 
5.5%
44850
 
2.7%
ValueCountFrequency (%)
2101
< 0.1%
2041
< 0.1%
2031
< 0.1%
2021
< 0.1%
1962
< 0.1%

C10
Real number (ℝ)

Skewed  Zeros 

Distinct609
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.355273704
Minimum0
Maximum3244
Zeros135974
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.596260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3244
Range3244
Interquartile range (IQR)0

Descriptive statistics

Standard deviation96.23993532
Coefficient of variation (CV)17.97105818
Kurtosis682.4617221
Mean5.355273704
Median Absolute Deviation (MAD)0
Skewness25.02597476
Sum948751
Variance9262.12515
MonotonicityNot monotonic
2025-10-30T00:20:26.645484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0135974
76.8%
130013
 
16.9%
24590
 
2.6%
31948
 
1.1%
4833
 
0.5%
5548
 
0.3%
6358
 
0.2%
7256
 
0.1%
8193
 
0.1%
9159
 
0.1%
Other values (599)2290
 
1.3%
ValueCountFrequency (%)
0135974
76.8%
130013
 
16.9%
24590
 
2.6%
31948
 
1.1%
4833
 
0.5%
ValueCountFrequency (%)
32441
 
< 0.1%
32391
 
< 0.1%
32374
< 0.1%
32321
 
< 0.1%
32281
 
< 0.1%

C11
Real number (ℝ)

Skewed 

Distinct774
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.41814272
Minimum0
Maximum3170
Zeros556
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.771651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile15
Maximum3170
Range3170
Interquartile range (IQR)1

Descriptive statistics

Standard deviation95.2754011
Coefficient of variation (CV)9.145142631
Kurtosis573.2793151
Mean10.41814272
Median Absolute Deviation (MAD)0
Skewness22.12030239
Sum1845699
Variance9077.402055
MonotonicityNot monotonic
2025-10-30T00:20:26.821063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1116620
65.8%
226933
 
15.2%
310322
 
5.8%
44881
 
2.8%
52996
 
1.7%
61787
 
1.0%
71113
 
0.6%
8885
 
0.5%
0556
 
0.3%
10536
 
0.3%
Other values (764)10533
 
5.9%
ValueCountFrequency (%)
0556
 
0.3%
1116620
65.8%
226933
 
15.2%
310322
 
5.8%
44881
 
2.8%
ValueCountFrequency (%)
31701
< 0.1%
31661
< 0.1%
31641
< 0.1%
31631
< 0.1%
31621
< 0.1%

C12
Real number (ℝ)

Skewed  Zeros 

Distinct538
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.163804879
Minimum0
Maximum3170
Zeros146862
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.869146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3170
Range3170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.23419928
Coefficient of variation (CV)20.9505973
Kurtosis805.3801984
Mean4.163804879
Median Absolute Deviation (MAD)0
Skewness27.2919132
Sum737668
Variance7609.805524
MonotonicityNot monotonic
2025-10-30T00:20:26.918592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0146862
82.9%
122839
 
12.9%
23745
 
2.1%
31217
 
0.7%
4498
 
0.3%
5317
 
0.2%
6177
 
0.1%
7112
 
0.1%
874
 
< 0.1%
1060
 
< 0.1%
Other values (528)1261
 
0.7%
ValueCountFrequency (%)
0146862
82.9%
122839
 
12.9%
23745
 
2.1%
31217
 
0.7%
4498
 
0.3%
ValueCountFrequency (%)
31701
< 0.1%
31661
< 0.1%
31641
< 0.1%
31631
< 0.1%
31621
< 0.1%

C13
Real number (ℝ)

Zeros 

Distinct1153
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.91293844
Minimum0
Maximum2903
Zeros10751
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:26.969524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile105
Maximum2903
Range2903
Interquartile range (IQR)11

Descriptive statistics

Standard deviation130.4741683
Coefficient of variation (CV)3.9642212
Kurtosis124.9280432
Mean32.91293844
Median Absolute Deviation (MAD)2
Skewness8.900171826
Sum5830922
Variance17023.5086
MonotonicityNot monotonic
2025-10-30T00:20:27.017867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159520
33.6%
217242
 
9.7%
010751
 
6.1%
39915
 
5.6%
47049
 
4.0%
55444
 
3.1%
64549
 
2.6%
73990
 
2.3%
83520
 
2.0%
93007
 
1.7%
Other values (1143)52175
29.5%
ValueCountFrequency (%)
010751
 
6.1%
159520
33.6%
217242
 
9.7%
39915
 
5.6%
47049
 
4.0%
ValueCountFrequency (%)
29031
< 0.1%
29001
< 0.1%
28991
< 0.1%
28981
< 0.1%
28971
< 0.1%

C14
Real number (ℝ)

Zeros 

Distinct664
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.410398392
Minimum0
Maximum1417
Zeros10890
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.064439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile14
Maximum1417
Range1417
Interquartile range (IQR)1

Descriptive statistics

Standard deviation50.13656066
Coefficient of variation (CV)5.961258709
Kurtosis340.3019204
Mean8.410398392
Median Absolute Deviation (MAD)0
Skewness16.36768159
Sum1490003
Variance2513.674715
MonotonicityNot monotonic
2025-10-30T00:20:27.112987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195897
54.1%
228171
 
15.9%
313347
 
7.5%
010890
 
6.1%
47471
 
4.2%
54677
 
2.6%
62584
 
1.5%
71516
 
0.9%
81053
 
0.6%
9839
 
0.5%
Other values (654)10717
 
6.0%
ValueCountFrequency (%)
010890
 
6.1%
195897
54.1%
228171
 
15.9%
313347
 
7.5%
47471
 
4.2%
ValueCountFrequency (%)
14171
< 0.1%
14151
< 0.1%
14141
< 0.1%
14132
< 0.1%
14121
< 0.1%

D1
Real number (ℝ)

Zeros 

Distinct641
Distinct (%)0.4%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean94.85483479
Minimum0
Maximum640
Zeros83648
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.164026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3123
95-th percentile490
Maximum640
Range640
Interquartile range (IQR)123

Descriptive statistics

Standard deviation158.0919902
Coefficient of variation (CV)1.666672981
Kurtosis2.15265156
Mean94.85483479
Median Absolute Deviation (MAD)3
Skewness1.795065678
Sum16767584
Variance24993.07738
MonotonicityNot monotonic
2025-10-30T00:20:27.214028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
083648
47.2%
12661
 
1.5%
21461
 
0.8%
31237
 
0.7%
41124
 
0.6%
71014
 
0.6%
6966
 
0.5%
5946
 
0.5%
14904
 
0.5%
28815
 
0.5%
Other values (631)81995
46.3%
ValueCountFrequency (%)
083648
47.2%
12661
 
1.5%
21461
 
0.8%
31237
 
0.7%
41124
 
0.6%
ValueCountFrequency (%)
6404
 
< 0.1%
63910
 
< 0.1%
63828
 
< 0.1%
637110
0.1%
63662
< 0.1%

D2
Real number (ℝ)

Missing  Zeros 

Distinct641
Distinct (%)0.7%
Missing83939
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean169.8564088
Minimum0
Maximum640
Zeros4471
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.263651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q125
median97
Q3277
95-th percentile539
Maximum640
Range640
Interquartile range (IQR)252

Descriptive statistics

Standard deviation177.5537427
Coefficient of variation (CV)1.045316711
Kurtosis-0.1824930969
Mean169.8564088
Median Absolute Deviation (MAD)88
Skewness1.010711551
Sum15834524
Variance31525.33153
MonotonicityNot monotonic
2025-10-30T00:20:27.312616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04471
 
2.5%
12100
 
1.2%
21276
 
0.7%
31154
 
0.7%
41053
 
0.6%
7962
 
0.5%
6935
 
0.5%
5925
 
0.5%
14888
 
0.5%
28792
 
0.4%
Other values (631)78667
44.4%
(Missing)83939
47.4%
ValueCountFrequency (%)
04471
2.5%
12100
1.2%
21276
 
0.7%
31154
 
0.7%
41053
 
0.6%
ValueCountFrequency (%)
6404
 
< 0.1%
6398
 
< 0.1%
63815
 
< 0.1%
63791
0.1%
63666
< 0.1%

D3
Real number (ℝ)

Missing  Zeros 

Distinct601
Distinct (%)0.6%
Missing78554
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean28.189224
Minimum0
Maximum731
Zeros22023
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.366523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q327
95-th percentile129
Maximum731
Range731
Interquartile range (IQR)26

Descriptive statistics

Standard deviation62.04938419
Coefficient of variation (CV)2.201173902
Kurtosis24.54449742
Mean28.189224
Median Absolute Deviation (MAD)8
Skewness4.511385568
Sum2779683
Variance3850.126079
MonotonicityNot monotonic
2025-10-30T00:20:27.415639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022023
 
12.4%
16435
 
3.6%
24265
 
2.4%
73962
 
2.2%
33234
 
1.8%
42897
 
1.6%
142845
 
1.6%
62793
 
1.6%
52685
 
1.5%
82434
 
1.4%
Other values (591)45035
25.4%
(Missing)78554
44.3%
ValueCountFrequency (%)
022023
12.4%
16435
 
3.6%
24265
 
2.4%
33234
 
1.8%
42897
 
1.6%
ValueCountFrequency (%)
7311
< 0.1%
7291
< 0.1%
6741
< 0.1%
6551
< 0.1%
6431
< 0.1%

D4
Real number (ℝ)

Missing  Zeros 

Distinct734
Distinct (%)0.6%
Missing51001
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean139.7898162
Minimum-90
Maximum869
Zeros49733
Zeros (%)28.1%
Negative6
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:27.464435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-90
5-th percentile0
Q10
median26
Q3252
95-th percentile543
Maximum869
Range959
Interquartile range (IQR)252

Descriptive statistics

Standard deviation190.7789207
Coefficient of variation (CV)1.364755502
Kurtosis-0.0255415304
Mean139.7898162
Median Absolute Deviation (MAD)26
Skewness1.172950567
Sum17636023
Variance36396.59659
MonotonicityNot monotonic
2025-10-30T00:20:27.511177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049733
28.1%
11575
 
0.9%
2995
 
0.6%
3802
 
0.5%
4739
 
0.4%
7668
 
0.4%
5664
 
0.4%
14629
 
0.4%
6605
 
0.3%
28533
 
0.3%
Other values (724)69218
39.1%
(Missing)51001
28.8%
ValueCountFrequency (%)
-901
< 0.1%
-741
< 0.1%
-301
< 0.1%
-161
< 0.1%
-151
< 0.1%
ValueCountFrequency (%)
8691
 
< 0.1%
8553
< 0.1%
8331
 
< 0.1%
8292
< 0.1%
8231
 
< 0.1%

D5
Real number (ℝ)

Missing  Zeros 

Distinct642
Distinct (%)0.8%
Missing93064
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean42.07774263
Minimum0
Maximum819
Zeros19566
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.561320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q332
95-th percentile244
Maximum819
Range819
Interquartile range (IQR)31

Descriptive statistics

Standard deviation88.51138197
Coefficient of variation (CV)2.103520209
Kurtosis12.50056579
Mean42.07774263
Median Absolute Deviation (MAD)9
Skewness3.403727109
Sum3538654
Variance7834.264739
MonotonicityNot monotonic
2025-10-30T00:20:27.608104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019566
 
11.0%
14650
 
2.6%
23138
 
1.8%
72885
 
1.6%
32377
 
1.3%
142185
 
1.2%
42154
 
1.2%
62104
 
1.2%
52016
 
1.1%
81826
 
1.0%
Other values (632)41197
23.3%
(Missing)93064
52.5%
ValueCountFrequency (%)
019566
11.0%
14650
 
2.6%
23138
 
1.8%
32377
 
1.3%
42154
 
1.2%
ValueCountFrequency (%)
8191
 
< 0.1%
7451
 
< 0.1%
7361
 
< 0.1%
7341
 
< 0.1%
7313
< 0.1%

D6
Real number (ℝ)

Missing  Zeros 

Distinct713
Distinct (%)3.3%
Missing155281
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean69.29098304
Minimum-74
Maximum869
Zeros13664
Zeros (%)7.7%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:27.654283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-74
5-th percentile0
Q10
median0
Q338
95-th percentile402
Maximum869
Range943
Interquartile range (IQR)38

Descriptive statistics

Standard deviation143.1637041
Coefficient of variation (CV)2.066123149
Kurtosis4.845634827
Mean69.29098304
Median Absolute Deviation (MAD)0
Skewness2.284156804
Sum1516156
Variance20495.84618
MonotonicityNot monotonic
2025-10-30T00:20:27.702371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013664
 
7.7%
1456
 
0.3%
256265
 
0.1%
2245
 
0.1%
3195
 
0.1%
4192
 
0.1%
5137
 
0.1%
249119
 
0.1%
6114
 
0.1%
7109
 
0.1%
Other values (703)6385
 
3.6%
(Missing)155281
87.6%
ValueCountFrequency (%)
-741
 
< 0.1%
013664
7.7%
1456
 
0.3%
2245
 
0.1%
3195
 
0.1%
ValueCountFrequency (%)
8691
< 0.1%
8641
< 0.1%
8611
< 0.1%
8491
< 0.1%
8472
< 0.1%

D7
Real number (ℝ)

Missing  Zeros 

Distinct499
Distinct (%)4.3%
Missing165463
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean40.7686127
Minimum0
Maximum745
Zeros6384
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.756031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile312
Maximum745
Range745
Interquartile range (IQR)17

Descriptive statistics

Standard deviation97.57989245
Coefficient of variation (CV)2.393505346
Kurtosis8.338669297
Mean40.7686127
Median Absolute Deviation (MAD)0
Skewness2.926182837
Sum476952
Variance9521.835411
MonotonicityNot monotonic
2025-10-30T00:20:27.803805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06384
 
3.6%
1517
 
0.3%
2289
 
0.2%
3237
 
0.1%
4174
 
0.1%
7173
 
0.1%
5152
 
0.1%
6125
 
0.1%
8119
 
0.1%
9100
 
0.1%
Other values (489)3429
 
1.9%
(Missing)165463
93.4%
ValueCountFrequency (%)
06384
3.6%
1517
 
0.3%
2289
 
0.2%
3237
 
0.1%
4174
 
0.1%
ValueCountFrequency (%)
7451
< 0.1%
7311
< 0.1%
7302
< 0.1%
7231
< 0.1%
6761
< 0.1%

D8
Real number (ℝ)

Missing 

Distinct7112
Distinct (%)31.5%
Missing154584
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean145.4671895
Minimum0
Maximum1707.791626
Zeros235
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.852467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.125
Q10.9583330154
median36.54166412
Q3185.7083282
95-th percentile738.797937
Maximum1707.791626
Range1707.791626
Interquartile range (IQR)184.7499952

Descriptive statistics

Standard deviation231.5954531
Coefficient of variation (CV)1.592080344
Kurtosis4.911256476
Mean145.4671895
Median Absolute Deviation (MAD)36.20833114
Skewness2.246781315
Sum3284358.203
Variance53636.45387
MonotonicityNot monotonic
2025-10-30T00:20:27.901552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8333330154416
 
0.2%
0.7916659713401
 
0.2%
0.875399
 
0.2%
0.9583330154398
 
0.2%
0.9166659713375
 
0.2%
0.75372
 
0.2%
0.7083330154363
 
0.2%
0.08333300054343
 
0.2%
0.6666659713332
 
0.2%
0.125316
 
0.2%
Other values (7102)18863
 
10.6%
(Missing)154584
87.3%
ValueCountFrequency (%)
0235
0.1%
0.04166600108300
0.2%
0.08333300054343
0.2%
0.125316
0.2%
0.1666660011265
0.1%
ValueCountFrequency (%)
1707.7916261
< 0.1%
1543.5416261
< 0.1%
1342.9166261
< 0.1%
1295.7083741
< 0.1%
1292.8751
< 0.1%

D9
Real number (ℝ)

Missing 

Distinct24
Distinct (%)0.1%
Missing154584
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean0.5604216797
Minimum0
Maximum0.9583330154
Zeros1265
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:27.948741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2083330005
median0.6666659713
Q30.8333330154
95-th percentile0.9583330154
Maximum0.9583330154
Range0.9583330154
Interquartile range (IQR)0.6250000149

Descriptive statistics

Standard deviation0.3172400398
Coefficient of variation (CV)0.5660738179
Kurtosis-1.145452896
Mean0.5604216797
Median Absolute Deviation (MAD)0.1666670442
Skewness-0.5811868994
Sum12653.20068
Variance0.1006412429
MonotonicityNot monotonic
2025-10-30T00:20:27.988027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.79166597131614
 
0.9%
0.70833301541574
 
0.9%
0.83333301541573
 
0.9%
0.751537
 
0.9%
0.66666597131496
 
0.8%
0.8751446
 
0.8%
0.91666597131428
 
0.8%
0.95833301541341
 
0.8%
0.6251316
 
0.7%
01265
 
0.7%
Other values (14)7988
 
4.5%
(Missing)154584
87.3%
ValueCountFrequency (%)
01265
0.7%
0.041666001081185
0.7%
0.083333000541093
0.6%
0.1251010
0.6%
0.1666660011820
0.5%
ValueCountFrequency (%)
0.95833301541341
0.8%
0.91666597131428
0.8%
0.8751446
0.8%
0.83333301541573
0.9%
0.79166597131614
0.9%

D10
Real number (ℝ)

Missing  Zeros 

Distinct755
Distinct (%)0.5%
Missing22949
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean124.7926699
Minimum0
Maximum876
Zeros66319
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:28.032165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3201
95-th percentile535
Maximum876
Range876
Interquartile range (IQR)201

Descriptive statistics

Standard deviation183.1555025
Coefficient of variation (CV)1.467678372
Kurtosis0.5893173937
Mean124.7926699
Median Absolute Deviation (MAD)15
Skewness1.381370804
Sum19244652
Variance33545.9381
MonotonicityNot monotonic
2025-10-30T00:20:28.078140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
066319
37.4%
11589
 
0.9%
21042
 
0.6%
3874
 
0.5%
7776
 
0.4%
14760
 
0.4%
28752
 
0.4%
4717
 
0.4%
5716
 
0.4%
6698
 
0.4%
Other values (745)79970
45.1%
(Missing)22949
 
13.0%
ValueCountFrequency (%)
066319
37.4%
11589
 
0.9%
21042
 
0.6%
3874
 
0.5%
4717
 
0.4%
ValueCountFrequency (%)
8761
 
< 0.1%
8691
 
< 0.1%
8641
 
< 0.1%
8611
 
< 0.1%
8553
< 0.1%

D11
Real number (ℝ)

Missing  Zeros 

Distinct667
Distinct (%)0.7%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean148.2416933
Minimum-33
Maximum668
Zeros33254
Zeros (%)18.8%
Negative2
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:28.122639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-33
5-th percentile0
Q10
median45
Q3277
95-th percentile532
Maximum668
Range701
Interquartile range (IQR)277

Descriptive statistics

Standard deviation186.4025818
Coefficient of variation (CV)1.257423453
Kurtosis-0.2914700739
Mean148.2416933
Median Absolute Deviation (MAD)45
Skewness1.033215787
Sum13839548
Variance34745.9225
MonotonicityNot monotonic
2025-10-30T00:20:28.176890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033254
 
18.8%
1984
 
0.6%
2591
 
0.3%
3520
 
0.3%
7482
 
0.3%
14471
 
0.3%
4441
 
0.2%
5435
 
0.2%
6425
 
0.2%
28395
 
0.2%
Other values (657)55360
31.2%
(Missing)83804
47.3%
ValueCountFrequency (%)
-331
 
< 0.1%
-151
 
< 0.1%
033254
18.8%
1984
 
0.6%
2591
 
0.3%
ValueCountFrequency (%)
6681
 
< 0.1%
6661
 
< 0.1%
6651
 
< 0.1%
6636
< 0.1%
6604
< 0.1%

D12
Real number (ℝ)

Missing  Zeros 

Distinct596
Distinct (%)3.1%
Missing157810
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean53.4072964
Minimum-74
Maximum647
Zeros12760
Zeros (%)7.2%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:28.227666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-74
5-th percentile0
Q10
median0
Q312
95-th percentile377
Maximum647
Range721
Interquartile range (IQR)12

Descriptive statistics

Standard deviation123.2547711
Coefficient of variation (CV)2.307826447
Kurtosis5.173652315
Mean53.4072964
Median Absolute Deviation (MAD)0
Skewness2.479842805
Sum1033538
Variance15191.7386
MonotonicityNot monotonic
2025-10-30T00:20:28.281037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012760
 
7.2%
1438
 
0.2%
2233
 
0.1%
3194
 
0.1%
4190
 
0.1%
5133
 
0.1%
6112
 
0.1%
7106
 
0.1%
985
 
< 0.1%
882
 
< 0.1%
Other values (586)5019
 
2.8%
(Missing)157810
89.1%
ValueCountFrequency (%)
-741
 
< 0.1%
012760
7.2%
1438
 
0.2%
2233
 
0.1%
3194
 
0.1%
ValueCountFrequency (%)
6471
< 0.1%
6401
< 0.1%
6361
< 0.1%
6351
< 0.1%
6341
< 0.1%

D13
Real number (ℝ)

Missing  Zeros 

Distinct459
Distinct (%)2.5%
Missing158680
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean17.52975868
Minimum0
Maximum847
Zeros14606
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:28.332598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105
Maximum847
Range847
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.16551845
Coefficient of variation (CV)3.83151415
Kurtosis35.91507644
Mean17.52975868
Median Absolute Deviation (MAD)0
Skewness5.507583251
Sum323985
Variance4511.206868
MonotonicityNot monotonic
2025-10-30T00:20:28.385439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014606
 
8.2%
1310
 
0.2%
26268
 
0.2%
2190
 
0.1%
3129
 
0.1%
4129
 
0.1%
19117
 
0.1%
599
 
0.1%
797
 
0.1%
675
 
< 0.1%
Other values (449)2462
 
1.4%
(Missing)158680
89.6%
ValueCountFrequency (%)
014606
8.2%
1310
 
0.2%
2190
 
0.1%
3129
 
0.1%
4129
 
0.1%
ValueCountFrequency (%)
8471
< 0.1%
8071
< 0.1%
7971
< 0.1%
7802
< 0.1%
7741
< 0.1%

D14
Real number (ℝ)

Missing  Zeros 

Distinct690
Distinct (%)3.7%
Missing158537
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean58.34845638
Minimum-193
Maximum869
Zeros13505
Zeros (%)7.6%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:28.433090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-193
5-th percentile0
Q10
median0
Q32
95-th percentile398
Maximum869
Range1062
Interquartile range (IQR)2

Descriptive statistics

Standard deviation137.486124
Coefficient of variation (CV)2.356294109
Kurtosis6.286500284
Mean58.34845638
Median Absolute Deviation (MAD)0
Skewness2.571262973
Sum1086740
Variance18902.43431
MonotonicityNot monotonic
2025-10-30T00:20:28.483301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013505
 
7.6%
1348
 
0.2%
256200
 
0.1%
2161
 
0.1%
24999
 
0.1%
389
 
0.1%
773
 
< 0.1%
570
 
< 0.1%
470
 
< 0.1%
853
 
< 0.1%
Other values (680)3957
 
2.2%
(Missing)158537
89.5%
ValueCountFrequency (%)
-1931
 
< 0.1%
013505
7.6%
1348
 
0.2%
2161
 
0.1%
389
 
0.1%
ValueCountFrequency (%)
8691
 
< 0.1%
8671
 
< 0.1%
8561
 
< 0.1%
8551
 
< 0.1%
8474
< 0.1%

D15
Real number (ℝ)

Missing  Zeros 

Distinct778
Distinct (%)0.5%
Missing26840
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean164.6404319
Minimum-74
Maximum876
Zeros52045
Zeros (%)29.4%
Negative2
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:28.531567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-74
5-th percentile0
Q10
median53
Q3316
95-th percentile566
Maximum876
Range950
Interquartile range (IQR)316

Descriptive statistics

Standard deviation203.0241178
Coefficient of variation (CV)1.233136451
Kurtosis-0.5464435024
Mean164.6404319
Median Absolute Deviation (MAD)53
Skewness0.947877416
Sum24749079
Variance41218.79241
MonotonicityNot monotonic
2025-10-30T00:20:28.581761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052045
29.4%
11793
 
1.0%
21070
 
0.6%
3900
 
0.5%
4807
 
0.5%
5732
 
0.4%
7728
 
0.4%
14684
 
0.4%
6676
 
0.4%
8599
 
0.3%
Other values (768)90288
51.0%
(Missing)26840
 
15.1%
ValueCountFrequency (%)
-741
 
< 0.1%
-151
 
< 0.1%
052045
29.4%
11793
 
1.0%
21070
 
0.6%
ValueCountFrequency (%)
8761
< 0.1%
8671
< 0.1%
8642
< 0.1%
8611
< 0.1%
8552
< 0.1%

M1
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing81371
Missing (%)45.9%
Memory size1.4 MiB
2025-10-30T00:20:28.610112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters95791
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t95777
> 99.9%
f14
 
< 0.1%
2025-10-30T00:20:28.666014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T95777
> 99.9%
F14
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T95777
> 99.9%
F14
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T95777
> 99.9%
F14
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T95777
> 99.9%
F14
 
< 0.1%

M2
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing81371
Missing (%)45.9%
Memory size1.4 MiB
2025-10-30T00:20:28.687024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters95791
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t85641
89.4%
f10150
 
10.6%
2025-10-30T00:20:28.742202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T85641
89.4%
F10150
 
10.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T85641
89.4%
F10150
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T85641
89.4%
F10150
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T85641
89.4%
F10150
 
10.6%

M3
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing81371
Missing (%)45.9%
Memory size1.4 MiB
2025-10-30T00:20:28.765941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters95791
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t75553
78.9%
f20238
 
21.1%
2025-10-30T00:20:28.829901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T75553
78.9%
F20238
 
21.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T75553
78.9%
F20238
 
21.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T75553
78.9%
F20238
 
21.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)95791
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T75553
78.9%
F20238
 
21.1%

M4
Text

Missing 

Distinct3
Distinct (%)< 0.1%
Missing84629
Missing (%)47.8%
Memory size1.4 MiB
2025-10-30T00:20:28.860185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters185066
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM0
2nd rowM0
3rd rowM2
4th rowM0
5th rowM0
ValueCountFrequency (%)
m058830
63.6%
m217855
 
19.3%
m115848
 
17.1%
2025-10-30T00:20:28.923892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M92533
50.0%
058830
31.8%
217855
 
9.6%
115848
 
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)185066
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
M92533
50.0%
058830
31.8%
217855
 
9.6%
115848
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)185066
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
M92533
50.0%
058830
31.8%
217855
 
9.6%
115848
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)185066
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
M92533
50.0%
058830
31.8%
217855
 
9.6%
115848
 
8.6%

M5
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing105260
Missing (%)59.4%
Memory size1.4 MiB
2025-10-30T00:20:28.946724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters71902
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f39665
55.2%
t32237
44.8%
2025-10-30T00:20:29.005705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F39665
55.2%
T32237
44.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)71902
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F39665
55.2%
T32237
44.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)71902
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F39665
55.2%
T32237
44.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)71902
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F39665
55.2%
T32237
44.8%

M6
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing50808
Missing (%)28.7%
Memory size1.4 MiB
2025-10-30T00:20:29.028478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters126354
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowF
4th rowT
5th rowF
ValueCountFrequency (%)
f68103
53.9%
t58251
46.1%
2025-10-30T00:20:29.088251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F68103
53.9%
T58251
46.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)126354
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F68103
53.9%
T58251
46.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)126354
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F68103
53.9%
T58251
46.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)126354
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F68103
53.9%
T58251
46.1%

M7
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing103859
Missing (%)58.6%
Memory size1.4 MiB
2025-10-30T00:20:29.111341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters73303
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f63562
86.7%
t9741
 
13.3%
2025-10-30T00:20:29.174313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F63562
86.7%
T9741
 
13.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)73303
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F63562
86.7%
T9741
 
13.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)73303
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F63562
86.7%
T9741
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)73303
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F63562
86.7%
T9741
 
13.3%

M8
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing103855
Missing (%)58.6%
Memory size1.4 MiB
2025-10-30T00:20:29.195950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters73307
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f46555
63.5%
t26752
36.5%
2025-10-30T00:20:29.255116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F46555
63.5%
T26752
36.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)73307
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F46555
63.5%
T26752
36.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)73307
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F46555
63.5%
T26752
36.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)73307
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F46555
63.5%
T26752
36.5%

M9
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing103855
Missing (%)58.6%
Memory size1.4 MiB
2025-10-30T00:20:29.279648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters73307
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t61867
84.4%
f11440
 
15.6%
2025-10-30T00:20:29.342933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T61867
84.4%
F11440
 
15.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)73307
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T61867
84.4%
F11440
 
15.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)73307
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T61867
84.4%
F11440
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)73307
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T61867
84.4%
F11440
 
15.6%

V1
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.9999035969
Minimum0
Maximum1
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.372622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009818087005
Coefficient of variation (CV)0.00981903359
Kurtosis10368.66658
Mean0.9999035969
Median Absolute Deviation (MAD)0
Skewness-101.8353792
Sum93349
Variance9.639483244 × 10-5
MonotonicityNot monotonic
2025-10-30T00:20:29.404899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
193349
52.7%
09
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
09
 
< 0.1%
193349
52.7%
ValueCountFrequency (%)
193349
52.7%
09
 
< 0.1%

V2
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.045009533
Minimum0
Maximum6
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.432043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2369344698
Coefficient of variation (CV)0.2267294816
Kurtosis53.88534484
Mean1.045009533
Median Absolute Deviation (MAD)0
Skewness6.363628343
Sum97560
Variance0.05613794297
MonotonicityNot monotonic
2025-10-30T00:20:29.461347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
189632
50.6%
23298
 
1.9%
3356
 
0.2%
445
 
< 0.1%
512
 
< 0.1%
011
 
< 0.1%
64
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
011
 
< 0.1%
189632
50.6%
23298
 
1.9%
3356
 
0.2%
445
 
< 0.1%
ValueCountFrequency (%)
64
 
< 0.1%
512
 
< 0.1%
445
 
< 0.1%
3356
 
0.2%
23298
1.9%

V3
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.078075794
Minimum0
Maximum9
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.490786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.322303878
Coefficient of variation (CV)0.2989621692
Kurtosis45.42775667
Mean1.078075794
Median Absolute Deviation (MAD)0
Skewness5.487913272
Sum100647
Variance0.1038797898
MonotonicityNot monotonic
2025-10-30T00:20:29.519860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
187158
49.2%
25323
 
3.0%
3701
 
0.4%
4112
 
0.1%
536
 
< 0.1%
611
 
< 0.1%
011
 
< 0.1%
73
 
< 0.1%
82
 
< 0.1%
91
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
011
 
< 0.1%
187158
49.2%
25323
 
3.0%
3701
 
0.4%
4112
 
0.1%
ValueCountFrequency (%)
91
 
< 0.1%
82
 
< 0.1%
73
 
< 0.1%
611
 
< 0.1%
536
< 0.1%

V4
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.846333469
Minimum0
Maximum5
Zeros16992
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.547918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4385318274
Coefficient of variation (CV)0.5181548922
Kurtosis2.758649441
Mean0.846333469
Median Absolute Deviation (MAD)0
Skewness-0.497736536
Sum79012
Variance0.1923101636
MonotonicityNot monotonic
2025-10-30T00:20:29.578815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
173942
41.7%
016992
 
9.6%
22236
 
1.3%
3158
 
0.1%
426
 
< 0.1%
54
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
016992
 
9.6%
173942
41.7%
22236
 
1.3%
3158
 
0.1%
426
 
< 0.1%
ValueCountFrequency (%)
54
 
< 0.1%
426
 
< 0.1%
3158
 
0.1%
22236
 
1.3%
173942
41.7%

V5
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.8768611153
Minimum0
Maximum6
Zeros16261
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.611679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4731554069
Coefficient of variation (CV)0.5396013105
Kurtosis4.631610321
Mean0.8768611153
Median Absolute Deviation (MAD)0
Skewness0.1285549576
Sum81862
Variance0.2238760391
MonotonicityNot monotonic
2025-10-30T00:20:29.643058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
172843
41.1%
016261
 
9.2%
23850
 
2.2%
3318
 
0.2%
471
 
< 0.1%
59
 
< 0.1%
66
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
016261
 
9.2%
172843
41.1%
23850
 
2.2%
3318
 
0.2%
471
 
< 0.1%
ValueCountFrequency (%)
66
 
< 0.1%
59
 
< 0.1%
471
 
< 0.1%
3318
 
0.2%
23850
2.2%

V6
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.046048544
Minimum0
Maximum6
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.672935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2374350232
Coefficient of variation (CV)0.2269827959
Kurtosis51.84338739
Mean1.046048544
Median Absolute Deviation (MAD)0
Skewness6.231435813
Sum97657
Variance0.05637539025
MonotonicityNot monotonic
2025-10-30T00:20:29.701730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
189502
50.5%
23469
 
2.0%
3310
 
0.2%
451
 
< 0.1%
513
 
< 0.1%
010
 
< 0.1%
63
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
010
 
< 0.1%
189502
50.5%
23469
 
2.0%
3310
 
0.2%
451
 
< 0.1%
ValueCountFrequency (%)
63
 
< 0.1%
513
 
< 0.1%
451
 
< 0.1%
3310
 
0.2%
23469
2.0%

V7
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.073512714
Minimum0
Maximum7
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.729962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3070641641
Coefficient of variation (CV)0.2860368209
Kurtosis44.36614932
Mean1.073512714
Median Absolute Deviation (MAD)0
Skewness5.476635653
Sum100221
Variance0.09428840087
MonotonicityNot monotonic
2025-10-30T00:20:29.761048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
187378
49.3%
25281
 
3.0%
3540
 
0.3%
4107
 
0.1%
526
 
< 0.1%
010
 
< 0.1%
69
 
< 0.1%
77
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
010
 
< 0.1%
187378
49.3%
25281
 
3.0%
3540
 
0.3%
4107
 
0.1%
ValueCountFrequency (%)
77
 
< 0.1%
69
 
< 0.1%
526
 
< 0.1%
4107
 
0.1%
3540
0.3%

V8
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.027581996
Minimum0
Maximum6
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.791738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1832206478
Coefficient of variation (CV)0.1783027034
Kurtosis92.93013841
Mean1.027581996
Median Absolute Deviation (MAD)0
Skewness8.125639889
Sum95933
Variance0.0335698058
MonotonicityNot monotonic
2025-10-30T00:20:29.902749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
190998
51.4%
22162
 
1.2%
3150
 
0.1%
428
 
< 0.1%
011
 
< 0.1%
55
 
< 0.1%
64
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
011
 
< 0.1%
190998
51.4%
22162
 
1.2%
3150
 
0.1%
428
 
< 0.1%
ValueCountFrequency (%)
64
 
< 0.1%
55
 
< 0.1%
428
 
< 0.1%
3150
 
0.1%
22162
1.2%

V9
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.041517599
Minimum0
Maximum7
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.932758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2240668645
Coefficient of variation (CV)0.2151349768
Kurtosis61.91503288
Mean1.041517599
Median Absolute Deviation (MAD)0
Skewness6.607840921
Sum97234
Variance0.05020595977
MonotonicityNot monotonic
2025-10-30T00:20:29.963657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
189835
50.7%
23213
 
1.8%
3239
 
0.1%
450
 
< 0.1%
011
 
< 0.1%
56
 
< 0.1%
72
 
< 0.1%
62
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
011
 
< 0.1%
189835
50.7%
23213
 
1.8%
3239
 
0.1%
450
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
62
 
< 0.1%
56
 
< 0.1%
450
 
< 0.1%
3239
0.1%

V10
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.4657661904
Minimum0
Maximum4
Zeros50888
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:29.992687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5213203369
Coefficient of variation (CV)1.119274751
Kurtosis-1.080382892
Mean0.4657661904
Median Absolute Deviation (MAD)0
Skewness0.4070171939
Sum43483
Variance0.2717748936
MonotonicityNot monotonic
2025-10-30T00:20:30.023959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
050888
28.7%
141513
23.4%
2903
 
0.5%
352
 
< 0.1%
42
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
050888
28.7%
141513
23.4%
2903
 
0.5%
352
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
42
 
< 0.1%
352
 
< 0.1%
2903
 
0.5%
141513
23.4%
050888
28.7%

V11
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing83804
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.4808586302
Minimum0
Maximum4
Zeros50684
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.054712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5516607256
Coefficient of variation (CV)1.147240979
Kurtosis0.5007291423
Mean0.4808586302
Median Absolute Deviation (MAD)0
Skewness0.7151378465
Sum44892
Variance0.3043295561
MonotonicityNot monotonic
2025-10-30T00:20:30.085748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
050684
28.6%
140732
23.0%
21725
 
1.0%
3158
 
0.1%
459
 
< 0.1%
(Missing)83804
47.3%
ValueCountFrequency (%)
050684
28.6%
140732
23.0%
21725
 
1.0%
3158
 
0.1%
459
 
< 0.1%
ValueCountFrequency (%)
459
 
< 0.1%
3158
 
0.1%
21725
 
1.0%
140732
23.0%
050684
28.6%

V12
Real number (ℝ)

Missing  Zeros 

Distinct4
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.5581776913
Minimum0
Maximum3
Zeros69146
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.118830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.510158467
Coefficient of variation (CV)0.9139714376
Kurtosis-1.539703999
Mean0.5581776913
Median Absolute Deviation (MAD)0
Skewness-0.06965067874
Sum86071
Variance0.2602616614
MonotonicityNot monotonic
2025-10-30T00:20:30.146578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
184072
47.5%
069146
39.0%
2947
 
0.5%
335
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
069146
39.0%
184072
47.5%
2947
 
0.5%
335
 
< 0.1%
ValueCountFrequency (%)
335
 
< 0.1%
2947
 
0.5%
184072
47.5%
069146
39.0%

V13
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.5976523995
Minimum0
Maximum6
Zeros65113
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.174573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5314483099
Coefficient of variation (CV)0.8892264306
Kurtosis-0.688652354
Mean0.5976523995
Median Absolute Deviation (MAD)0
Skewness0.07622205601
Sum92158
Variance0.2824373061
MonotonicityNot monotonic
2025-10-30T00:20:30.203205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
186155
48.6%
065113
36.8%
22812
 
1.6%
3107
 
0.1%
48
 
< 0.1%
54
 
< 0.1%
61
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
065113
36.8%
186155
48.6%
22812
 
1.6%
3107
 
0.1%
48
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
54
 
< 0.1%
48
 
< 0.1%
3107
 
0.1%
22812
1.6%

V14
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.9995201038
Minimum0
Maximum1
Zeros74
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.231440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02190134811
Coefficient of variation (CV)0.02191186353
Kurtosis2078.85171
Mean0.9995201038
Median Absolute Deviation (MAD)0
Skewness-45.61605799
Sum154126
Variance0.0004796690489
MonotonicityNot monotonic
2025-10-30T00:20:30.261222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1154126
87.0%
074
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
074
 
< 0.1%
1154126
87.0%
ValueCountFrequency (%)
1154126
87.0%
074
 
< 0.1%

V15
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1219649805
Minimum0
Maximum7
Zeros135578
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.289486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3330412033
Coefficient of variation (CV)2.730629742
Kurtosis10.78681978
Mean0.1219649805
Median Absolute Deviation (MAD)0
Skewness2.694393736
Sum18807
Variance0.1109164431
MonotonicityNot monotonic
2025-10-30T00:20:30.329723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0135578
76.5%
118490
 
10.4%
2105
 
0.1%
317
 
< 0.1%
75
 
< 0.1%
44
 
< 0.1%
51
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0135578
76.5%
118490
 
10.4%
2105
 
0.1%
317
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
75
 
< 0.1%
51
 
< 0.1%
44
 
< 0.1%
317
 
< 0.1%
2105
0.1%

V16
Real number (ℝ)

Missing  Zeros 

Distinct13
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1231906615
Minimum0
Maximum15
Zeros135569
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.364043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3461666118
Coefficient of variation (CV)2.810006925
Kurtosis81.69259392
Mean0.1231906615
Median Absolute Deviation (MAD)0
Skewness4.492072075
Sum18996
Variance0.1198313231
MonotonicityNot monotonic
2025-10-30T00:20:30.398204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0135569
76.5%
118430
 
10.4%
2140
 
0.1%
328
 
< 0.1%
416
 
< 0.1%
56
 
< 0.1%
72
 
< 0.1%
92
 
< 0.1%
142
 
< 0.1%
62
 
< 0.1%
Other values (3)3
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0135569
76.5%
118430
 
10.4%
2140
 
0.1%
328
 
< 0.1%
416
 
< 0.1%
ValueCountFrequency (%)
151
< 0.1%
142
< 0.1%
111
< 0.1%
101
< 0.1%
92
< 0.1%

V17
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1334435798
Minimum0
Maximum15
Zeros134310
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.430469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631472114
Coefficient of variation (CV)2.721353938
Kurtosis44.01837142
Mean0.1334435798
Median Absolute Deviation (MAD)0
Skewness3.790860832
Sum20577
Variance0.1318758971
MonotonicityNot monotonic
2025-10-30T00:20:30.464108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0134310
75.8%
119457
 
11.0%
2302
 
0.2%
377
 
< 0.1%
426
 
< 0.1%
514
 
< 0.1%
65
 
< 0.1%
83
 
< 0.1%
92
 
< 0.1%
72
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0134310
75.8%
119457
 
11.0%
2302
 
0.2%
377
 
< 0.1%
426
 
< 0.1%
ValueCountFrequency (%)
151
 
< 0.1%
101
 
< 0.1%
92
< 0.1%
83
< 0.1%
72
< 0.1%

V18
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1348962387
Minimum0
Maximum15
Zeros134302
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.496104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3713923854
Coefficient of variation (CV)2.753170801
Kurtosis47.54092844
Mean0.1348962387
Median Absolute Deviation (MAD)0
Skewness4.057088772
Sum20801
Variance0.137932304
MonotonicityNot monotonic
2025-10-30T00:20:30.533270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0134302
75.8%
119335
 
10.9%
2383
 
0.2%
3112
 
0.1%
431
 
< 0.1%
515
 
< 0.1%
610
 
< 0.1%
86
 
< 0.1%
92
 
< 0.1%
72
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0134302
75.8%
119335
 
10.9%
2383
 
0.2%
3112
 
0.1%
431
 
< 0.1%
ValueCountFrequency (%)
151
 
< 0.1%
101
 
< 0.1%
92
 
< 0.1%
86
< 0.1%
72
 
< 0.1%

V19
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.8148378729
Minimum0
Maximum7
Zeros30788
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.563890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4273969837
Coefficient of variation (CV)0.5245178187
Kurtosis2.538024138
Mean0.8148378729
Median Absolute Deviation (MAD)0
Skewness-0.8282276095
Sum125648
Variance0.1826681817
MonotonicityNot monotonic
2025-10-30T00:20:30.595088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1121331
68.5%
030788
 
17.4%
21955
 
1.1%
3113
 
0.1%
47
 
< 0.1%
75
 
< 0.1%
51
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
030788
 
17.4%
1121331
68.5%
21955
 
1.1%
3113
 
0.1%
47
 
< 0.1%
ValueCountFrequency (%)
75
 
< 0.1%
51
 
< 0.1%
47
 
< 0.1%
3113
 
0.1%
21955
1.1%

V20
Real number (ℝ)

Missing  Zeros 

Distinct14
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.8466342412
Minimum0
Maximum15
Zeros29100
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.627032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4627938289
Coefficient of variation (CV)0.5466278191
Kurtosis22.38443081
Mean0.8466342412
Median Absolute Deviation (MAD)0
Skewness0.5074861598
Sum130551
Variance0.2141781281
MonotonicityNot monotonic
2025-10-30T00:20:30.662676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1120199
67.8%
029100
 
16.4%
24522
 
2.6%
3305
 
0.2%
445
 
< 0.1%
59
 
< 0.1%
68
 
< 0.1%
83
 
< 0.1%
72
 
< 0.1%
92
 
< 0.1%
Other values (4)5
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
029100
 
16.4%
1120199
67.8%
24522
 
2.6%
3305
 
0.2%
445
 
< 0.1%
ValueCountFrequency (%)
151
< 0.1%
142
< 0.1%
111
< 0.1%
101
< 0.1%
92
< 0.1%

V21
Real number (ℝ)

Missing  Zeros 

Distinct4
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1292477302
Minimum0
Maximum3
Zeros134422
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.694481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3387645163
Coefficient of variation (CV)2.621048089
Kurtosis3.902698862
Mean0.1292477302
Median Absolute Deviation (MAD)0
Skewness2.314621195
Sum19930
Variance0.1147613975
MonotonicityNot monotonic
2025-10-30T00:20:30.729867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0134422
75.9%
119645
 
11.1%
2114
 
0.1%
319
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0134422
75.9%
119645
 
11.1%
2114
 
0.1%
319
 
< 0.1%
ValueCountFrequency (%)
319
 
< 0.1%
2114
 
0.1%
119645
 
11.1%
0134422
75.9%

V22
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1318223087
Minimum0
Maximum7
Zeros134414
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.760301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3586215914
Coefficient of variation (CV)2.720492418
Kurtosis30.50245142
Mean0.1318223087
Median Absolute Deviation (MAD)0
Skewness3.59132131
Sum20327
Variance0.1286094458
MonotonicityNot monotonic
2025-10-30T00:20:30.792906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0134414
75.9%
119486
 
11.0%
2197
 
0.1%
354
 
< 0.1%
727
 
< 0.1%
416
 
< 0.1%
54
 
< 0.1%
62
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0134414
75.9%
119486
 
11.0%
2197
 
0.1%
354
 
< 0.1%
416
 
< 0.1%
ValueCountFrequency (%)
727
< 0.1%
62
 
< 0.1%
54
 
< 0.1%
416
 
< 0.1%
354
< 0.1%

V23
Real number (ℝ)

Missing 

Distinct13
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean1.035577173
Minimum0
Maximum13
Zeros177
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.828031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2528807768
Coefficient of variation (CV)0.2441930776
Kurtosis270.2462347
Mean1.035577173
Median Absolute Deviation (MAD)0
Skewness12.32629016
Sum159686
Variance0.06394868729
MonotonicityNot monotonic
2025-10-30T00:20:30.864071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1149415
84.3%
24030
 
2.3%
3359
 
0.2%
0177
 
0.1%
4106
 
0.1%
554
 
< 0.1%
620
 
< 0.1%
714
 
< 0.1%
813
 
< 0.1%
97
 
< 0.1%
Other values (3)5
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0177
 
0.1%
1149415
84.3%
24030
 
2.3%
3359
 
0.2%
4106
 
0.1%
ValueCountFrequency (%)
131
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
97
< 0.1%
813
< 0.1%

V24
Real number (ℝ)

Missing 

Distinct13
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean1.059156939
Minimum0
Maximum13
Zeros171
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.898069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3108757874
Coefficient of variation (CV)0.293512487
Kurtosis156.1504041
Mean1.059156939
Median Absolute Deviation (MAD)0
Skewness9.20998585
Sum163322
Variance0.09664375516
MonotonicityNot monotonic
2025-10-30T00:20:30.935814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1146312
82.6%
26779
 
3.8%
3648
 
0.4%
0171
 
0.1%
4139
 
0.1%
570
 
< 0.1%
626
 
< 0.1%
724
 
< 0.1%
815
 
< 0.1%
98
 
< 0.1%
Other values (3)8
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0171
 
0.1%
1146312
82.6%
26779
 
3.8%
3648
 
0.4%
4139
 
0.1%
ValueCountFrequency (%)
131
 
< 0.1%
113
 
< 0.1%
104
 
< 0.1%
98
< 0.1%
815
< 0.1%

V25
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.9775745785
Minimum0
Maximum7
Zeros4395
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:30.971667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1876623916
Coefficient of variation (CV)0.1919673401
Kurtosis36.50361486
Mean0.9775745785
Median Absolute Deviation (MAD)0
Skewness-2.373634854
Sum150742
Variance0.03521717321
MonotonicityNot monotonic
2025-10-30T00:20:31.005974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1148942
84.1%
04395
 
2.5%
2797
 
0.4%
361
 
< 0.1%
44
 
< 0.1%
71
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
04395
 
2.5%
1148942
84.1%
2797
 
0.4%
361
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
44
 
< 0.1%
361
 
< 0.1%
2797
 
0.4%
1148942
84.1%

V26
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.9881452659
Minimum0
Maximum11
Zeros3965
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.038846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2139186499
Coefficient of variation (CV)0.2164850222
Kurtosis160.5017226
Mean0.9881452659
Median Absolute Deviation (MAD)0
Skewness3.375516114
Sum152372
Variance0.04576118876
MonotonicityNot monotonic
2025-10-30T00:20:31.072848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1148319
83.7%
03965
 
2.2%
21800
 
1.0%
376
 
< 0.1%
417
 
< 0.1%
59
 
< 0.1%
85
 
< 0.1%
73
 
< 0.1%
92
 
< 0.1%
62
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
03965
 
2.2%
1148319
83.7%
21800
 
1.0%
376
 
< 0.1%
417
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
101
 
< 0.1%
92
 
< 0.1%
85
< 0.1%
73
< 0.1%

V27
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.0007392996109
Minimum0
Maximum2
Zeros154089
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.103210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02788671003
Coefficient of variation (CV)37.72044461
Kurtosis1665.721365
Mean0.0007392996109
Median Absolute Deviation (MAD)0
Skewness39.39399593
Sum114
Variance0.0007776685961
MonotonicityNot monotonic
2025-10-30T00:20:31.134904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0154089
87.0%
1108
 
0.1%
23
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0154089
87.0%
1108
 
0.1%
23
 
< 0.1%
ValueCountFrequency (%)
23
 
< 0.1%
1108
 
0.1%
0154089
87.0%

V28
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.0007976653696
Minimum0
Maximum2
Zeros154087
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.165603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03044235201
Coefficient of variation (CV)38.16431447
Kurtosis1978.590492
Mean0.0007976653696
Median Absolute Deviation (MAD)0
Skewness41.98827798
Sum123
Variance0.0009267367957
MonotonicityNot monotonic
2025-10-30T00:20:31.201705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0154087
87.0%
1103
 
0.1%
210
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0154087
87.0%
1103
 
0.1%
210
 
< 0.1%
ValueCountFrequency (%)
210
 
< 0.1%
1103
 
0.1%
0154087
87.0%

V29
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.3881841764
Minimum0
Maximum5
Zeros95977
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.233247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5108443491
Coefficient of variation (CV)1.315984474
Kurtosis-0.2971060823
Mean0.3881841764
Median Absolute Deviation (MAD)0
Skewness0.7804236607
Sum59858
Variance0.260961949
MonotonicityNot monotonic
2025-10-30T00:20:31.262952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
095977
54.2%
156736
32.0%
21363
 
0.8%
3102
 
0.1%
420
 
< 0.1%
52
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
095977
54.2%
156736
32.0%
21363
 
0.8%
3102
 
0.1%
420
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
420
 
< 0.1%
3102
 
0.1%
21363
 
0.8%
156736
32.0%

V30
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.4071076524
Minimum0
Maximum9
Zeros95509
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.291942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5546625718
Coefficient of variation (CV)1.362446931
Kurtosis3.899363499
Mean0.4071076524
Median Absolute Deviation (MAD)0
Skewness1.301390786
Sum62776
Variance0.3076505685
MonotonicityNot monotonic
2025-10-30T00:20:31.324384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
095509
53.9%
155301
31.2%
22917
 
1.6%
3327
 
0.2%
484
 
< 0.1%
557
 
< 0.1%
93
 
< 0.1%
62
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
095509
53.9%
155301
31.2%
22917
 
1.6%
3327
 
0.2%
484
 
< 0.1%
ValueCountFrequency (%)
93
 
< 0.1%
62
 
< 0.1%
557
 
< 0.1%
484
 
< 0.1%
3327
0.2%

V31
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.14038262
Minimum0
Maximum7
Zeros132887
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.355520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3568694477
Coefficient of variation (CV)2.542119871
Kurtosis9.82502348
Mean0.14038262
Median Absolute Deviation (MAD)0
Skewness2.547292876
Sum21647
Variance0.1273558027
MonotonicityNot monotonic
2025-10-30T00:20:31.391501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0132887
75.0%
121091
 
11.9%
2147
 
0.1%
355
 
< 0.1%
413
 
< 0.1%
75
 
< 0.1%
52
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0132887
75.0%
121091
 
11.9%
2147
 
0.1%
355
 
< 0.1%
413
 
< 0.1%
ValueCountFrequency (%)
75
 
< 0.1%
52
 
< 0.1%
413
 
< 0.1%
355
 
< 0.1%
2147
0.1%

V32
Real number (ℝ)

Missing  Zeros 

Distinct13
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.142153048
Minimum0
Maximum15
Zeros132877
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.423765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3720290318
Coefficient of variation (CV)2.617102039
Kurtosis64.26067848
Mean0.142153048
Median Absolute Deviation (MAD)0
Skewness4.091764738
Sum21920
Variance0.1384056005
MonotonicityNot monotonic
2025-10-30T00:20:31.459003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0132877
75.0%
120972
 
11.8%
2238
 
0.1%
363
 
< 0.1%
421
 
< 0.1%
517
 
< 0.1%
63
 
< 0.1%
72
 
< 0.1%
92
 
< 0.1%
142
 
< 0.1%
Other values (3)3
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0132877
75.0%
120972
 
11.8%
2238
 
0.1%
363
 
< 0.1%
421
 
< 0.1%
ValueCountFrequency (%)
151
< 0.1%
142
< 0.1%
111
< 0.1%
101
< 0.1%
92
< 0.1%

V33
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1304993515
Minimum0
Maximum7
Zeros134256
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.491788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3413093545
Coefficient of variation (CV)2.61541035
Kurtosis5.393674162
Mean0.1304993515
Median Absolute Deviation (MAD)0
Skewness2.382678688
Sum20123
Variance0.1164920755
MonotonicityNot monotonic
2025-10-30T00:20:31.522969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0134256
75.8%
119806
 
11.2%
2104
 
0.1%
330
 
< 0.1%
43
 
< 0.1%
71
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0134256
75.8%
119806
 
11.2%
2104
 
0.1%
330
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
43
 
< 0.1%
330
 
< 0.1%
2104
 
0.1%
119806
11.2%

V34
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing22962
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.1388845655
Minimum0
Maximum11
Zeros133152
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.554987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3593460092
Coefficient of variation (CV)2.587371807
Kurtosis26.32481295
Mean0.1388845655
Median Absolute Deviation (MAD)0
Skewness3.128497703
Sum21416
Variance0.1291295543
MonotonicityNot monotonic
2025-10-30T00:20:31.589707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0133152
75.2%
120832
 
11.8%
2148
 
0.1%
336
 
< 0.1%
413
 
< 0.1%
58
 
< 0.1%
73
 
< 0.1%
92
 
< 0.1%
82
 
< 0.1%
62
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)22962
 
13.0%
ValueCountFrequency (%)
0133152
75.2%
120832
 
11.8%
2148
 
0.1%
336
 
< 0.1%
413
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
101
 
< 0.1%
92
< 0.1%
82
< 0.1%
73
< 0.1%

V35
Real number (ℝ)

Missing  Zeros 

Distinct4
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.5430922409
Minimum0
Maximum3
Zeros58763
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.623551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5160872151
Coefficient of variation (CV)0.9502754344
Kurtosis-1.469057783
Mean0.5430922409
Median Absolute Deviation (MAD)0
Skewness0.03387442313
Sum68510
Variance0.2663460136
MonotonicityNot monotonic
2025-10-30T00:20:31.652997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
166283
37.4%
058763
33.2%
21079
 
0.6%
323
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
058763
33.2%
166283
37.4%
21079
 
0.6%
323
 
< 0.1%
ValueCountFrequency (%)
323
 
< 0.1%
21079
 
0.6%
166283
37.4%
058763
33.2%

V36
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.5799695596
Minimum0
Maximum5
Zeros55793
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.683421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5389552473
Coefficient of variation (CV)0.929281957
Kurtosis-0.7506593607
Mean0.5799695596
Median Absolute Deviation (MAD)0
Skewness0.1748353253
Sum73162
Variance0.2904727586
MonotonicityNot monotonic
2025-10-30T00:20:31.714405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
167694
38.2%
055793
31.5%
22517
 
1.4%
3143
 
0.1%
51
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
055793
31.5%
167694
38.2%
22517
 
1.4%
3143
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
3143
 
0.1%
22517
 
1.4%
167694
38.2%
055793
31.5%

V37
Real number (ℝ)

Missing  Skewed 

Distinct39
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.108998954
Minimum0
Maximum53
Zeros107
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.753253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum53
Range53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7294216678
Coefficient of variation (CV)0.6577298071
Kurtosis1128.907899
Mean1.108998954
Median Absolute Deviation (MAD)0
Skewness24.8028278
Sum139898
Variance0.5320559695
MonotonicityNot monotonic
2025-10-30T00:20:31.798168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1118297
66.8%
25490
 
3.1%
31115
 
0.6%
4434
 
0.2%
5249
 
0.1%
6136
 
0.1%
0107
 
0.1%
794
 
0.1%
858
 
< 0.1%
954
 
< 0.1%
Other values (29)114
 
0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0107
 
0.1%
1118297
66.8%
25490
 
3.1%
31115
 
0.6%
4434
 
0.2%
ValueCountFrequency (%)
531
< 0.1%
471
< 0.1%
461
< 0.1%
441
< 0.1%
421
< 0.1%

V38
Real number (ℝ)

Missing 

Distinct43
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.16508387
Minimum0
Maximum53
Zeros107
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.850449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum53
Range53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9031480393
Coefficient of variation (CV)0.7751785624
Kurtosis651.2551651
Mean1.16508387
Median Absolute Deviation (MAD)0
Skewness19.33638217
Sum146973
Variance0.8156763808
MonotonicityNot monotonic
2025-10-30T00:20:31.897518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1114341
64.5%
28338
 
4.7%
31685
 
1.0%
4681
 
0.4%
5349
 
0.2%
6184
 
0.1%
7127
 
0.1%
0107
 
0.1%
881
 
< 0.1%
947
 
< 0.1%
Other values (33)208
 
0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0107
 
0.1%
1114341
64.5%
28338
 
4.7%
31685
 
1.0%
4681
 
0.4%
ValueCountFrequency (%)
531
< 0.1%
471
< 0.1%
461
< 0.1%
441
< 0.1%
421
< 0.1%

V39
Real number (ℝ)

Missing  Zeros 

Distinct15
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.1647984907
Minimum0
Maximum14
Zeros107207
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.933588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4454161602
Coefficient of variation (CV)2.702792716
Kurtosis82.82504208
Mean0.1647984907
Median Absolute Deviation (MAD)0
Skewness5.605071514
Sum20789
Variance0.1983955558
MonotonicityNot monotonic
2025-10-30T00:20:31.966975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0107207
60.5%
117864
 
10.1%
2751
 
0.4%
3158
 
0.1%
469
 
< 0.1%
533
 
< 0.1%
628
 
< 0.1%
813
 
< 0.1%
710
 
< 0.1%
96
 
< 0.1%
Other values (5)9
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0107207
60.5%
117864
 
10.1%
2751
 
0.4%
3158
 
0.1%
469
 
< 0.1%
ValueCountFrequency (%)
144
< 0.1%
131
 
< 0.1%
121
 
< 0.1%
111
 
< 0.1%
102
< 0.1%

V40
Real number (ℝ)

Missing  Zeros 

Distinct15
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.1759996195
Minimum0
Maximum14
Zeros107155
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:31.998800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4982506155
Coefficient of variation (CV)2.830975527
Kurtosis79.26051773
Mean0.1759996195
Median Absolute Deviation (MAD)0
Skewness6.016794165
Sum22202
Variance0.2482536759
MonotonicityNot monotonic
2025-10-30T00:20:32.032157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0107155
60.5%
117129
 
9.7%
21272
 
0.7%
3307
 
0.2%
4107
 
0.1%
560
 
< 0.1%
652
 
< 0.1%
725
 
< 0.1%
818
 
< 0.1%
98
 
< 0.1%
Other values (5)15
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0107155
60.5%
117129
 
9.7%
21272
 
0.7%
3307
 
0.2%
4107
 
0.1%
ValueCountFrequency (%)
145
< 0.1%
131
 
< 0.1%
121
 
< 0.1%
112
 
< 0.1%
106
< 0.1%

V41
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.9991834987
Minimum0
Maximum1
Zeros103
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.067391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02856293132
Coefficient of variation (CV)0.02858627205
Kurtosis1219.787076
Mean0.9991834987
Median Absolute Deviation (MAD)0
Skewness-34.95379431
Sum126045
Variance0.0008158410455
MonotonicityNot monotonic
2025-10-30T00:20:32.096864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1126045
71.1%
0103
 
0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0103
 
0.1%
1126045
71.1%
ValueCountFrequency (%)
1126045
71.1%
0103
 
0.1%

V42
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.1555157434
Minimum0
Maximum8
Zeros107334
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.126500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3822823024
Coefficient of variation (CV)2.458158216
Kurtosis7.854463009
Mean0.1555157434
Median Absolute Deviation (MAD)0
Skewness2.459764758
Sum19618
Variance0.1461397587
MonotonicityNot monotonic
2025-10-30T00:20:32.158644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0107334
60.6%
118106
 
10.2%
2627
 
0.4%
375
 
< 0.1%
43
 
< 0.1%
71
 
< 0.1%
81
 
< 0.1%
61
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0107334
60.6%
118106
 
10.2%
2627
 
0.4%
375
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
71
 
< 0.1%
61
 
< 0.1%
43
 
< 0.1%
375
< 0.1%

V43
Real number (ℝ)

Missing  Zeros 

Distinct9
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.1685401275
Minimum0
Maximum8
Zeros107275
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.190121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4331326511
Coefficient of variation (CV)2.569908173
Kurtosis13.87251403
Mean0.1685401275
Median Absolute Deviation (MAD)0
Skewness3.082201923
Sum21261
Variance0.1876038935
MonotonicityNot monotonic
2025-10-30T00:20:32.225251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0107275
60.6%
116943
 
9.6%
21572
 
0.9%
3291
 
0.2%
444
 
< 0.1%
517
 
< 0.1%
63
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0107275
60.6%
116943
 
9.6%
21572
 
0.9%
3291
 
0.2%
444
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
72
 
< 0.1%
63
 
< 0.1%
517
 
< 0.1%
444
< 0.1%

V44
Real number (ℝ)

Missing  Skewed 

Distinct42
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.085336272
Minimum0
Maximum47
Zeros144
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.270376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6811530346
Coefficient of variation (CV)0.6275963058
Kurtosis1330.089552
Mean1.085336272
Median Absolute Deviation (MAD)0
Skewness29.93891542
Sum136913
Variance0.4639694565
MonotonicityNot monotonic
2025-10-30T00:20:32.316151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1118969
67.2%
25815
 
3.3%
3679
 
0.4%
4183
 
0.1%
0144
 
0.1%
5102
 
0.1%
657
 
< 0.1%
743
 
< 0.1%
928
 
< 0.1%
825
 
< 0.1%
Other values (32)103
 
0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0144
 
0.1%
1118969
67.2%
25815
 
3.3%
3679
 
0.4%
4183
 
0.1%
ValueCountFrequency (%)
471
< 0.1%
421
< 0.1%
411
< 0.1%
401
< 0.1%
391
< 0.1%

V45
Real number (ℝ)

Missing  Skewed 

Distinct43
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.12379903
Minimum0
Maximum47
Zeros135
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.364806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7765664221
Coefficient of variation (CV)0.691018947
Kurtosis876.952711
Mean1.12379903
Median Absolute Deviation (MAD)0
Skewness23.82234796
Sum141765
Variance0.603055408
MonotonicityNot monotonic
2025-10-30T00:20:32.410832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1115733
65.3%
28453
 
4.8%
31034
 
0.6%
4282
 
0.2%
5145
 
0.1%
0135
 
0.1%
678
 
< 0.1%
769
 
< 0.1%
940
 
< 0.1%
839
 
< 0.1%
Other values (33)140
 
0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0135
 
0.1%
1115733
65.3%
28453
 
4.8%
31034
 
0.6%
4282
 
0.2%
ValueCountFrequency (%)
471
< 0.1%
421
< 0.1%
411
< 0.1%
401
< 0.1%
391
< 0.1%

V46
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.022489457
Minimum0
Maximum5
Zeros116
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.445982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1679250632
Coefficient of variation (CV)0.1642315841
Kurtosis78.47185818
Mean1.022489457
Median Absolute Deviation (MAD)0
Skewness7.559545215
Sum128985
Variance0.02819882685
MonotonicityNot monotonic
2025-10-30T00:20:32.481341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1123314
69.6%
22521
 
1.4%
3162
 
0.1%
0116
 
0.1%
432
 
< 0.1%
53
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0116
 
0.1%
1123314
69.6%
22521
 
1.4%
3162
 
0.1%
432
 
< 0.1%
ValueCountFrequency (%)
53
 
< 0.1%
432
 
< 0.1%
3162
 
0.1%
22521
 
1.4%
1123314
69.6%

V47
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.038859118
Minimum0
Maximum12
Zeros115
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.511516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2356239835
Coefficient of variation (CV)0.226810334
Kurtosis252.5543084
Mean1.038859118
Median Absolute Deviation (MAD)0
Skewness10.2960018
Sum131050
Variance0.0555186616
MonotonicityNot monotonic
2025-10-30T00:20:32.544921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1121614
68.6%
24004
 
2.3%
3324
 
0.2%
0115
 
0.1%
452
 
< 0.1%
618
 
< 0.1%
516
 
< 0.1%
125
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0115
 
0.1%
1121614
68.6%
24004
 
2.3%
3324
 
0.2%
452
 
< 0.1%
ValueCountFrequency (%)
125
 
< 0.1%
618
 
< 0.1%
516
 
< 0.1%
452
 
< 0.1%
3324
0.2%

V48
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.3844294004
Minimum0
Maximum5
Zeros78960
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.575465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5090919208
Coefficient of variation (CV)1.324279361
Kurtosis-0.436313617
Mean0.3844294004
Median Absolute Deviation (MAD)0
Skewness0.7756774843
Sum48495
Variance0.2591745838
MonotonicityNot monotonic
2025-10-30T00:20:32.604428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
078960
44.6%
145984
26.0%
21110
 
0.6%
387
 
< 0.1%
45
 
< 0.1%
52
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
078960
44.6%
145984
26.0%
21110
 
0.6%
387
 
< 0.1%
45
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
45
 
< 0.1%
387
 
< 0.1%
21110
 
0.6%
145984
26.0%

V49
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.3990630054
Minimum0
Maximum5
Zeros78780
Zeros (%)44.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.632799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5434921462
Coefficient of variation (CV)1.361920646
Kurtosis1.882265902
Mean0.3990630054
Median Absolute Deviation (MAD)0
Skewness1.132120469
Sum50341
Variance0.295383713
MonotonicityNot monotonic
2025-10-30T00:20:32.661538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
078780
44.5%
144790
25.3%
22292
 
1.3%
3205
 
0.1%
453
 
< 0.1%
528
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
078780
44.5%
144790
25.3%
22292
 
1.3%
3205
 
0.1%
453
 
< 0.1%
ValueCountFrequency (%)
528
 
< 0.1%
453
 
< 0.1%
3205
 
0.1%
22292
 
1.3%
144790
25.3%

V50
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.1641484605
Minimum0
Maximum5
Zeros105535
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.689693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3731197596
Coefficient of variation (CV)2.273062802
Kurtosis2.386454353
Mean0.1641484605
Median Absolute Deviation (MAD)0
Skewness1.910800031
Sum20707
Variance0.139218355
MonotonicityNot monotonic
2025-10-30T00:20:32.724370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0105535
59.6%
120544
 
11.6%
250
 
< 0.1%
315
 
< 0.1%
42
 
< 0.1%
52
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0105535
59.6%
120544
 
11.6%
250
 
< 0.1%
315
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
42
 
< 0.1%
315
 
< 0.1%
250
 
< 0.1%
120544
11.6%

V51
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.1703633827
Minimum0
Maximum5
Zeros105808
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.753271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4035338259
Coefficient of variation (CV)2.368665258
Kurtosis6.741640159
Mean0.1703633827
Median Absolute Deviation (MAD)0
Skewness2.403936071
Sum21491
Variance0.1628395486
MonotonicityNot monotonic
2025-10-30T00:20:32.783027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0105808
59.7%
119365
 
10.9%
2825
 
0.5%
3127
 
0.1%
420
 
< 0.1%
53
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0105808
59.7%
119365
 
10.9%
2825
 
0.5%
3127
 
0.1%
420
 
< 0.1%
ValueCountFrequency (%)
53
 
< 0.1%
420
 
< 0.1%
3127
 
0.1%
2825
 
0.5%
119365
10.9%

V52
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing51014
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.182428576
Minimum0
Maximum12
Zeros105161
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.812554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4402765743
Coefficient of variation (CV)2.413418906
Kurtosis30.86591
Mean0.182428576
Median Absolute Deviation (MAD)0
Skewness3.396536336
Sum23013
Variance0.1938434618
MonotonicityNot monotonic
2025-10-30T00:20:32.849108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0105161
59.4%
119395
 
10.9%
21299
 
0.7%
3222
 
0.1%
444
 
< 0.1%
514
 
< 0.1%
68
 
< 0.1%
125
 
< 0.1%
(Missing)51014
28.8%
ValueCountFrequency (%)
0105161
59.4%
119395
 
10.9%
21299
 
0.7%
3222
 
0.1%
444
 
< 0.1%
ValueCountFrequency (%)
125
 
< 0.1%
68
 
< 0.1%
514
 
< 0.1%
444
 
< 0.1%
3222
0.1%

V53
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.5768680869
Minimum0
Maximum5
Zeros66418
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.882260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5119011148
Coefficient of variation (CV)0.8873798471
Kurtosis-1.293762753
Mean0.5768680869
Median Absolute Deviation (MAD)0
Skewness-0.08518077527
Sum88765
Variance0.2620427513
MonotonicityNot monotonic
2025-10-30T00:20:32.912709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
186208
48.7%
066418
37.5%
21196
 
0.7%
345
 
< 0.1%
45
 
< 0.1%
52
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
066418
37.5%
186208
48.7%
21196
 
0.7%
345
 
< 0.1%
45
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
45
 
< 0.1%
345
 
< 0.1%
21196
 
0.7%
186208
48.7%

V54
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.6195068693
Minimum0
Maximum6
Zeros62096
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:32.945795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5344809854
Coefficient of variation (CV)0.8627523147
Kurtosis-0.2863014145
Mean0.6195068693
Median Absolute Deviation (MAD)0
Skewness0.09458531847
Sum95326
Variance0.2856699238
MonotonicityNot monotonic
2025-10-30T00:20:32.975171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
188476
49.9%
062096
35.1%
23097
 
1.7%
3171
 
0.1%
428
 
< 0.1%
55
 
< 0.1%
61
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
062096
35.1%
188476
49.9%
23097
 
1.7%
3171
 
0.1%
428
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
55
 
< 0.1%
428
 
< 0.1%
3171
 
0.1%
23097
1.7%

V55
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.068270143
Minimum0
Maximum16
Zeros59
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.006354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3964270683
Coefficient of variation (CV)0.3710925283
Kurtosis184.4247846
Mean1.068270143
Median Absolute Deviation (MAD)0
Skewness10.75872639
Sum164379
Variance0.1571544205
MonotonicityNot monotonic
2025-10-30T00:20:33.045149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1146552
82.7%
25610
 
3.2%
3912
 
0.5%
4353
 
0.2%
5177
 
0.1%
688
 
< 0.1%
059
 
< 0.1%
749
 
< 0.1%
832
 
< 0.1%
915
 
< 0.1%
Other values (7)27
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
059
 
< 0.1%
1146552
82.7%
25610
 
3.2%
3912
 
0.5%
4353
 
0.2%
ValueCountFrequency (%)
161
 
< 0.1%
151
 
< 0.1%
142
< 0.1%
133
< 0.1%
122
< 0.1%

V56
Real number (ℝ)

Missing  Skewed 

Distinct31
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.122879759
Minimum0
Maximum46
Zeros59
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.085288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6747313455
Coefficient of variation (CV)0.6008936756
Kurtosis1018.557498
Mean1.122879759
Median Absolute Deviation (MAD)0
Skewness22.81316194
Sum172782
Variance0.4552623886
MonotonicityNot monotonic
2025-10-30T00:20:33.125955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1141605
79.9%
29261
 
5.2%
31697
 
1.0%
4556
 
0.3%
5306
 
0.2%
6104
 
0.1%
784
 
< 0.1%
059
 
< 0.1%
851
 
< 0.1%
943
 
< 0.1%
Other values (21)108
 
0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
059
 
< 0.1%
1141605
79.9%
29261
 
5.2%
31697
 
1.0%
4556
 
0.3%
ValueCountFrequency (%)
463
< 0.1%
441
 
< 0.1%
421
 
< 0.1%
391
 
< 0.1%
381
 
< 0.1%

V57
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1279488413
Minimum0
Maximum6
Zeros134885
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.164133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3492704449
Coefficient of variation (CV)2.729766377
Kurtosis8.017035892
Mean0.1279488413
Median Absolute Deviation (MAD)0
Skewness2.703232438
Sum19688
Variance0.1219898437
MonotonicityNot monotonic
2025-10-30T00:20:33.195776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0134885
76.1%
118374
 
10.4%
2544
 
0.3%
362
 
< 0.1%
46
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0134885
76.1%
118374
 
10.4%
2544
 
0.3%
362
 
< 0.1%
46
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
52
 
< 0.1%
46
 
< 0.1%
362
 
< 0.1%
2544
0.3%

V58
Real number (ℝ)

Missing  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1323745402
Minimum0
Maximum9
Zeros134822
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.227540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3744647385
Coefficient of variation (CV)2.828827491
Kurtosis31.3093419
Mean0.1323745402
Median Absolute Deviation (MAD)0
Skewness3.819433178
Sum20369
Variance0.1402238404
MonotonicityNot monotonic
2025-10-30T00:20:33.259596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0134822
76.1%
118044
 
10.2%
2848
 
0.5%
396
 
0.1%
431
 
< 0.1%
716
 
< 0.1%
510
 
< 0.1%
93
 
< 0.1%
82
 
< 0.1%
62
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0134822
76.1%
118044
 
10.2%
2848
 
0.5%
396
 
0.1%
431
 
< 0.1%
ValueCountFrequency (%)
93
 
< 0.1%
82
 
< 0.1%
716
< 0.1%
62
 
< 0.1%
510
< 0.1%

V59
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1333623614
Minimum0
Maximum12
Zeros134572
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.292741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.374686887
Coefficient of variation (CV)2.809539986
Kurtosis37.17634968
Mean0.1333623614
Median Absolute Deviation (MAD)0
Skewness3.93468035
Sum20521
Variance0.1403902633
MonotonicityNot monotonic
2025-10-30T00:20:33.348900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0134572
76.0%
118420
 
10.4%
2699
 
0.4%
3115
 
0.1%
431
 
< 0.1%
518
 
< 0.1%
67
 
< 0.1%
84
 
< 0.1%
93
 
< 0.1%
73
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0134572
76.0%
118420
 
10.4%
2699
 
0.4%
3115
 
0.1%
431
 
< 0.1%
ValueCountFrequency (%)
121
 
< 0.1%
101
 
< 0.1%
93
< 0.1%
84
< 0.1%
73
< 0.1%

V60
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1419083146
Minimum0
Maximum12
Zeros134487
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.398328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.415129273
Coefficient of variation (CV)2.925334391
Kurtosis42.75157053
Mean0.1419083146
Median Absolute Deviation (MAD)0
Skewness4.564078567
Sum21836
Variance0.1723323133
MonotonicityNot monotonic
2025-10-30T00:20:33.528972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0134487
75.9%
117703
 
10.0%
21252
 
0.7%
3265
 
0.1%
488
 
< 0.1%
539
 
< 0.1%
618
 
< 0.1%
78
 
< 0.1%
87
 
< 0.1%
95
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0134487
75.9%
117703
 
10.0%
21252
 
0.7%
3265
 
0.1%
488
 
< 0.1%
ValueCountFrequency (%)
121
 
< 0.1%
101
 
< 0.1%
95
< 0.1%
87
< 0.1%
78
< 0.1%

V61
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.8276836893
Minimum0
Maximum6
Zeros29940
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.560582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.437587478
Coefficient of variation (CV)0.528689261
Kurtosis2.437734172
Mean0.8276836893
Median Absolute Deviation (MAD)0
Skewness-0.6195872913
Sum127359
Variance0.1914828009
MonotonicityNot monotonic
2025-10-30T00:20:33.591308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1120779
68.2%
029940
 
16.9%
22930
 
1.7%
3198
 
0.1%
516
 
< 0.1%
410
 
< 0.1%
61
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
029940
 
16.9%
1120779
68.2%
22930
 
1.7%
3198
 
0.1%
410
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
516
 
< 0.1%
410
 
< 0.1%
3198
 
0.1%
22930
1.7%

V62
Real number (ℝ)

Missing  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.8661892198
Minimum0
Maximum9
Zeros28238
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.623382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4863786116
Coefficient of variation (CV)0.5615154293
Kurtosis10.77721989
Mean0.8661892198
Median Absolute Deviation (MAD)0
Skewness0.6117783809
Sum133284
Variance0.2365641538
MonotonicityNot monotonic
2025-10-30T00:20:33.654425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1119007
67.2%
028238
 
15.9%
25931
 
3.3%
3538
 
0.3%
487
 
< 0.1%
626
 
< 0.1%
722
 
< 0.1%
520
 
< 0.1%
93
 
< 0.1%
82
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
028238
 
15.9%
1119007
67.2%
25931
 
3.3%
3538
 
0.3%
487
 
< 0.1%
ValueCountFrequency (%)
93
 
< 0.1%
82
 
< 0.1%
722
< 0.1%
626
< 0.1%
520
< 0.1%

V63
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1302754201
Minimum0
Maximum7
Zeros134662
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.683484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3556826774
Coefficient of variation (CV)2.730236272
Kurtosis11.24574256
Mean0.1302754201
Median Absolute Deviation (MAD)0
Skewness2.865153254
Sum20046
Variance0.126510167
MonotonicityNot monotonic
2025-10-30T00:20:33.719186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0134662
76.0%
118502
 
10.4%
2620
 
0.3%
372
 
< 0.1%
48
 
< 0.1%
56
 
< 0.1%
72
 
< 0.1%
62
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0134662
76.0%
118502
 
10.4%
2620
 
0.3%
372
 
< 0.1%
48
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
62
 
< 0.1%
56
 
< 0.1%
48
 
< 0.1%
372
< 0.1%

V64
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1416938534
Minimum0
Maximum7
Zeros134567
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.750340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.407675994
Coefficient of variation (CV)2.877160753
Kurtosis24.93835177
Mean0.1416938534
Median Absolute Deviation (MAD)0
Skewness3.851314695
Sum21803
Variance0.1661997161
MonotonicityNot monotonic
2025-10-30T00:20:33.782855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0134567
76.0%
117379
 
9.8%
21566
 
0.9%
3266
 
0.2%
641
 
< 0.1%
433
 
< 0.1%
519
 
< 0.1%
73
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0134567
76.0%
117379
 
9.8%
21566
 
0.9%
3266
 
0.2%
433
 
< 0.1%
ValueCountFrequency (%)
73
 
< 0.1%
641
 
< 0.1%
519
 
< 0.1%
433
 
< 0.1%
3266
0.2%

V65
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.9996230682
Minimum0
Maximum1
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.813680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0194111346
Coefficient of variation (CV)0.01941845403
Kurtosis2648.086463
Mean0.9996230682
Median Absolute Deviation (MAD)0
Skewness-51.47865619
Sum153816
Variance0.0003767921465
MonotonicityNot monotonic
2025-10-30T00:20:33.843398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1153816
86.8%
058
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
058
 
< 0.1%
1153816
86.8%
ValueCountFrequency (%)
1153816
86.8%
058
 
< 0.1%

V66
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.9804645359
Minimum0
Maximum7
Zeros4971
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.872127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.215611188
Coefficient of variation (CV)0.2199071767
Kurtosis28.45597395
Mean0.9804645359
Median Absolute Deviation (MAD)0
Skewness-0.9917777102
Sum150868
Variance0.04648818438
MonotonicityNot monotonic
2025-10-30T00:20:33.910807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1147048
83.0%
04971
 
2.8%
21767
 
1.0%
369
 
< 0.1%
418
 
< 0.1%
71
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
04971
 
2.8%
1147048
83.0%
21767
 
1.0%
369
 
< 0.1%
418
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
418
 
< 0.1%
369
 
< 0.1%
21767
 
1.0%
1147048
83.0%

V67
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.9977384093
Minimum0
Maximum8
Zeros4405
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:33.942978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2460717742
Coefficient of variation (CV)0.2466295493
Kurtosis33.41071012
Mean0.9977384093
Median Absolute Deviation (MAD)0
Skewness1.317770356
Sum153526
Variance0.06055131808
MonotonicityNot monotonic
2025-10-30T00:20:33.976927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1145760
82.3%
04405
 
2.5%
23416
 
1.9%
3251
 
0.1%
436
 
< 0.1%
53
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
04405
 
2.5%
1145760
82.3%
23416
 
1.9%
3251
 
0.1%
436
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
72
 
< 0.1%
53
 
< 0.1%
436
 
< 0.1%
3251
0.1%

V68
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.000519905897
Minimum0
Maximum2
Zeros153796
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.007842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02335881923
Coefficient of variation (CV)44.92893687
Kurtosis2350.451297
Mean0.000519905897
Median Absolute Deviation (MAD)0
Skewness46.84461598
Sum80
Variance0.0005456344357
MonotonicityNot monotonic
2025-10-30T00:20:34.039620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0153796
86.8%
176
 
< 0.1%
22
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0153796
86.8%
176
 
< 0.1%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
176
 
< 0.1%
0153796
86.8%

V69
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.3910602181
Minimum0
Maximum5
Zeros95553
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.071275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5147309903
Coefficient of variation (CV)1.31624483
Kurtosis-0.1508452382
Mean0.3910602181
Median Absolute Deviation (MAD)0
Skewness0.807410675
Sum60174
Variance0.2649479924
MonotonicityNot monotonic
2025-10-30T00:20:34.100900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
095553
53.9%
156653
32.0%
21506
 
0.9%
3141
 
0.1%
419
 
< 0.1%
52
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
095553
53.9%
156653
32.0%
21506
 
0.9%
3141
 
0.1%
419
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
419
 
< 0.1%
3141
 
0.1%
21506
 
0.9%
156653
32.0%

V70
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.409165941
Minimum0
Maximum6
Zeros95142
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.132794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5562409004
Coefficient of variation (CV)1.35945064
Kurtosis2.798201911
Mean0.409165941
Median Absolute Deviation (MAD)0
Skewness1.245147739
Sum62960
Variance0.3094039393
MonotonicityNot monotonic
2025-10-30T00:20:34.161432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
095142
53.7%
155225
31.2%
22982
 
1.7%
3388
 
0.2%
479
 
< 0.1%
557
 
< 0.1%
61
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
095142
53.7%
155225
31.2%
22982
 
1.7%
3388
 
0.2%
479
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
557
 
< 0.1%
479
 
< 0.1%
3388
 
0.2%
22982
1.7%

V71
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1401016416
Minimum0
Maximum6
Zeros133122
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.189189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3644472525
Coefficient of variation (CV)2.601306083
Kurtosis7.522928093
Mean0.1401016416
Median Absolute Deviation (MAD)0
Skewness2.587251575
Sum21558
Variance0.1328217999
MonotonicityNot monotonic
2025-10-30T00:20:34.219487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0133122
75.1%
120069
 
11.3%
2576
 
0.3%
395
 
0.1%
49
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0133122
75.1%
120069
 
11.3%
2576
 
0.3%
395
 
0.1%
49
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
52
 
< 0.1%
49
 
< 0.1%
395
 
0.1%
2576
0.3%

V72
Real number (ℝ)

Missing  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.14491727
Minimum0
Maximum9
Zeros133058
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.250765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3910102359
Coefficient of variation (CV)2.698161758
Kurtosis28.32301215
Mean0.14491727
Median Absolute Deviation (MAD)0
Skewness3.654577202
Sum22299
Variance0.1528890045
MonotonicityNot monotonic
2025-10-30T00:20:34.282051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0133058
75.1%
119717
 
11.1%
2891
 
0.5%
3126
 
0.1%
440
 
< 0.1%
519
 
< 0.1%
716
 
< 0.1%
93
 
< 0.1%
82
 
< 0.1%
62
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0133058
75.1%
119717
 
11.1%
2891
 
0.5%
3126
 
0.1%
440
 
< 0.1%
ValueCountFrequency (%)
93
 
< 0.1%
82
 
< 0.1%
716
< 0.1%
62
 
< 0.1%
519
< 0.1%

V73
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1395882345
Minimum0
Maximum7
Zeros133323
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.310698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3657386445
Coefficient of variation (CV)2.620125154
Kurtosis7.7994946
Mean0.1395882345
Median Absolute Deviation (MAD)0
Skewness2.617907457
Sum21479
Variance0.1337647561
MonotonicityNot monotonic
2025-10-30T00:20:34.347600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0133323
75.3%
119719
 
11.1%
2757
 
0.4%
357
 
< 0.1%
417
 
< 0.1%
71
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0133323
75.3%
119719
 
11.1%
2757
 
0.4%
357
 
< 0.1%
417
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
417
 
< 0.1%
357
 
< 0.1%
2757
 
0.4%
119719
11.1%

V74
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing23288
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1515850631
Minimum0
Maximum8
Zeros132207
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.379565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3927497837
Coefficient of variation (CV)2.590953064
Kurtosis11.06855603
Mean0.1515850631
Median Absolute Deviation (MAD)0
Skewness2.83410938
Sum23325
Variance0.1542523926
MonotonicityNot monotonic
2025-10-30T00:20:34.414700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0132207
74.6%
120251
 
11.4%
21222
 
0.7%
3159
 
0.1%
429
 
< 0.1%
53
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
(Missing)23288
 
13.1%
ValueCountFrequency (%)
0132207
74.6%
120251
 
11.4%
21222
 
0.7%
3159
 
0.1%
429
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
72
 
< 0.1%
53
 
< 0.1%
429
 
< 0.1%
3159
0.1%

V75
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.5433806359
Minimum0
Maximum4
Zeros69828
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.446203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5143209927
Coefficient of variation (CV)0.94652065
Kurtosis-1.476134682
Mean0.5433806359
Median Absolute Deviation (MAD)0
Skewness0.01869800422
Sum81675
Variance0.2645260835
MonotonicityNot monotonic
2025-10-30T00:20:34.477163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
179325
44.8%
069828
39.4%
21119
 
0.6%
336
 
< 0.1%
41
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
069828
39.4%
179325
44.8%
21119
 
0.6%
336
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
336
 
< 0.1%
21119
 
0.6%
179325
44.8%
069828
39.4%

V76
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.5869442282
Minimum0
Maximum5
Zeros65367
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.507763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5376986173
Coefficient of variation (CV)0.916098313
Kurtosis-0.5970182957
Mean0.5869442282
Median Absolute Deviation (MAD)0
Skewness0.1648227378
Sum88223
Variance0.289119803
MonotonicityNot monotonic
2025-10-30T00:20:34.536957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
181869
46.2%
065367
36.9%
22881
 
1.6%
3179
 
0.1%
410
 
< 0.1%
53
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
065367
36.9%
181869
46.2%
22881
 
1.6%
3179
 
0.1%
410
 
< 0.1%
ValueCountFrequency (%)
53
 
< 0.1%
410
 
< 0.1%
3179
 
0.1%
22881
 
1.6%
181869
46.2%

V77
Real number (ℝ)

Missing 

Distinct24
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean1.087572933
Minimum0
Maximum29
Zeros189
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.572894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5454090599
Coefficient of variation (CV)0.5014919399
Kurtosis320.4916475
Mean1.087572933
Median Absolute Deviation (MAD)0
Skewness13.69544616
Sum163472
Variance0.2974710427
MonotonicityNot monotonic
2025-10-30T00:20:34.611549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1142246
80.3%
25636
 
3.2%
31094
 
0.6%
4490
 
0.3%
5239
 
0.1%
0189
 
0.1%
6123
 
0.1%
796
 
0.1%
848
 
< 0.1%
944
 
< 0.1%
Other values (14)104
 
0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0189
 
0.1%
1142246
80.3%
25636
 
3.2%
31094
 
0.6%
4490
 
0.3%
ValueCountFrequency (%)
291
< 0.1%
281
< 0.1%
241
< 0.1%
231
< 0.1%
202
< 0.1%

V78
Real number (ℝ)

Missing 

Distinct30
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean1.147429628
Minimum0
Maximum31
Zeros189
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.650562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8053124147
Coefficient of variation (CV)0.7018403524
Kurtosis345.0801638
Mean1.147429628
Median Absolute Deviation (MAD)0
Skewness15.15351478
Sum172469
Variance0.6485280852
MonotonicityNot monotonic
2025-10-30T00:20:34.691690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1137215
77.5%
29398
 
5.3%
31828
 
1.0%
4684
 
0.4%
5351
 
0.2%
6199
 
0.1%
0189
 
0.1%
7111
 
0.1%
865
 
< 0.1%
1041
 
< 0.1%
Other values (20)228
 
0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0189
 
0.1%
1137215
77.5%
29398
 
5.3%
31828
 
1.0%
4684
 
0.4%
ValueCountFrequency (%)
311
 
< 0.1%
301
 
< 0.1%
293
 
< 0.1%
282
 
< 0.1%
258
< 0.1%

V79
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1367316661
Minimum0
Maximum7
Zeros130994
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.725639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.380187425
Coefficient of variation (CV)2.780536768
Kurtosis32.17027091
Mean0.1367316661
Median Absolute Deviation (MAD)0
Skewness3.877565453
Sum20552
Variance0.1445424781
MonotonicityNot monotonic
2025-10-30T00:20:34.757365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0130994
73.9%
118453
 
10.4%
2662
 
0.4%
3132
 
0.1%
732
 
< 0.1%
427
 
< 0.1%
57
 
< 0.1%
62
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0130994
73.9%
118453
 
10.4%
2662
 
0.4%
3132
 
0.1%
427
 
< 0.1%
ValueCountFrequency (%)
732
 
< 0.1%
62
 
< 0.1%
57
 
< 0.1%
427
 
< 0.1%
3132
0.1%

V80
Real number (ℝ)

Missing  Zeros 

Distinct14
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1434112395
Minimum0
Maximum16
Zeros130386
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.793768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4061348225
Coefficient of variation (CV)2.831959503
Kurtosis83.85812319
Mean0.1434112395
Median Absolute Deviation (MAD)0
Skewness5.361203302
Sum21556
Variance0.1649454941
MonotonicityNot monotonic
2025-10-30T00:20:34.829892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0130386
73.6%
118918
 
10.7%
2717
 
0.4%
3147
 
0.1%
464
 
< 0.1%
534
 
< 0.1%
714
 
< 0.1%
613
 
< 0.1%
88
 
< 0.1%
92
 
< 0.1%
Other values (4)6
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0130386
73.6%
118918
 
10.7%
2717
 
0.4%
3147
 
0.1%
464
 
< 0.1%
ValueCountFrequency (%)
161
< 0.1%
151
< 0.1%
142
< 0.1%
102
< 0.1%
92
< 0.1%

V81
Real number (ℝ)

Missing  Zeros 

Distinct17
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.152326208
Minimum0
Maximum16
Zeros130358
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.864878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4498888747
Coefficient of variation (CV)2.953456799
Kurtosis80.49922975
Mean0.152326208
Median Absolute Deviation (MAD)0
Skewness5.793916502
Sum22896
Variance0.2023999996
MonotonicityNot monotonic
2025-10-30T00:20:34.902205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0130358
73.6%
118139
 
10.2%
21268
 
0.7%
3274
 
0.2%
4138
 
0.1%
560
 
< 0.1%
628
 
< 0.1%
721
 
< 0.1%
89
 
< 0.1%
95
 
< 0.1%
Other values (7)9
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0130358
73.6%
118139
 
10.2%
21268
 
0.7%
3274
 
0.2%
4138
 
0.1%
ValueCountFrequency (%)
161
< 0.1%
151
< 0.1%
142
< 0.1%
131
< 0.1%
121
< 0.1%

V82
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.8437086269
Minimum0
Maximum6
Zeros26735
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:34.936788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4226691307
Coefficient of variation (CV)0.5009657567
Kurtosis2.470796164
Mean0.8437086269
Median Absolute Deviation (MAD)0
Skewness-0.7429174256
Sum126817
Variance0.1786491941
MonotonicityNot monotonic
2025-10-30T00:20:34.967995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1120568
68.1%
026735
 
15.1%
22799
 
1.6%
3182
 
0.1%
421
 
< 0.1%
53
 
< 0.1%
61
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
026735
 
15.1%
1120568
68.1%
22799
 
1.6%
3182
 
0.1%
421
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
53
 
< 0.1%
421
 
< 0.1%
3182
 
0.1%
22799
1.6%

V83
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.8814974486
Minimum0
Maximum7
Zeros25210
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.002182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4721339931
Coefficient of variation (CV)0.535604492
Kurtosis10.36860286
Mean0.8814974486
Median Absolute Deviation (MAD)0
Skewness0.5519714672
Sum132497
Variance0.2229105075
MonotonicityNot monotonic
2025-10-30T00:20:35.033997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1118678
67.0%
025210
 
14.2%
25738
 
3.2%
3521
 
0.3%
499
 
0.1%
732
 
< 0.1%
526
 
< 0.1%
65
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
025210
 
14.2%
1118678
67.0%
25738
 
3.2%
3521
 
0.3%
499
 
0.1%
ValueCountFrequency (%)
732
 
< 0.1%
65
 
< 0.1%
526
 
< 0.1%
499
 
0.1%
3521
0.3%

V84
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1368381135
Minimum0
Maximum7
Zeros130543
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.064370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3615637275
Coefficient of variation (CV)2.642273547
Kurtosis9.646924688
Mean0.1368381135
Median Absolute Deviation (MAD)0
Skewness2.698652998
Sum20568
Variance0.130728329
MonotonicityNot monotonic
2025-10-30T00:20:35.096056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0130543
73.7%
119063
 
10.8%
2629
 
0.4%
361
 
< 0.1%
48
 
< 0.1%
73
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0130543
73.7%
119063
 
10.8%
2629
 
0.4%
361
 
< 0.1%
48
 
< 0.1%
ValueCountFrequency (%)
73
 
< 0.1%
61
 
< 0.1%
51
 
< 0.1%
48
 
< 0.1%
361
< 0.1%

V85
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1495053523
Minimum0
Maximum7
Zeros130489
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.126103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4190483699
Coefficient of variation (CV)2.802898782
Kurtosis22.72997617
Mean0.1495053523
Median Absolute Deviation (MAD)0
Skewness3.722254988
Sum22472
Variance0.1756015363
MonotonicityNot monotonic
2025-10-30T00:20:35.157746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0130489
73.7%
117804
 
10.0%
21593
 
0.9%
3304
 
0.2%
467
 
< 0.1%
634
 
< 0.1%
514
 
< 0.1%
74
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0130489
73.7%
117804
 
10.0%
21593
 
0.9%
3304
 
0.2%
467
 
< 0.1%
ValueCountFrequency (%)
74
 
< 0.1%
634
 
< 0.1%
514
 
< 0.1%
467
 
< 0.1%
3304
0.2%

V86
Real number (ℝ)

Missing 

Distinct25
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean1.064440586
Minimum0
Maximum29
Zeros243
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.192516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4296895119
Coefficient of variation (CV)0.4036763702
Kurtosis629.9121261
Mean1.064440586
Median Absolute Deviation (MAD)0
Skewness18.23644981
Sum159995
Variance0.1846330767
MonotonicityNot monotonic
2025-10-30T00:20:35.236114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1143043
80.7%
25766
 
3.3%
3724
 
0.4%
0243
 
0.1%
4223
 
0.1%
595
 
0.1%
665
 
< 0.1%
745
 
< 0.1%
929
 
< 0.1%
824
 
< 0.1%
Other values (15)52
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0243
 
0.1%
1143043
80.7%
25766
 
3.3%
3724
 
0.4%
4223
 
0.1%
ValueCountFrequency (%)
291
< 0.1%
281
< 0.1%
241
< 0.1%
231
< 0.1%
201
< 0.1%

V87
Real number (ℝ)

Missing 

Distinct27
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean1.099827688
Minimum0
Maximum29
Zeros234
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.274549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5285643223
Coefficient of variation (CV)0.480588303
Kurtosis446.7589615
Mean1.099827688
Median Absolute Deviation (MAD)0
Skewness15.76865957
Sum165314
Variance0.2793802428
MonotonicityNot monotonic
2025-10-30T00:20:35.316402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1139040
78.5%
29193
 
5.2%
31125
 
0.6%
4314
 
0.2%
0234
 
0.1%
5136
 
0.1%
755
 
< 0.1%
646
 
< 0.1%
842
 
< 0.1%
928
 
< 0.1%
Other values (17)96
 
0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0234
 
0.1%
1139040
78.5%
29193
 
5.2%
31125
 
0.6%
4314
 
0.2%
ValueCountFrequency (%)
291
 
< 0.1%
281
 
< 0.1%
241
 
< 0.1%
231
 
< 0.1%
223
< 0.1%

V88
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.999141768
Minimum0
Maximum1
Zeros129
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.352454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02928312116
Coefficient of variation (CV)0.02930827446
Kurtosis1160.22554
Mean0.999141768
Median Absolute Deviation (MAD)0
Skewness-34.0912027
Sum150180
Variance0.0008575011847
MonotonicityNot monotonic
2025-10-30T00:20:35.383533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1150180
84.8%
0129
 
0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0129
 
0.1%
1150180
84.8%
ValueCountFrequency (%)
1150180
84.8%
0129
 
0.1%

V89
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.0008648850036
Minimum0
Maximum2
Zeros150189
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.413860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0315785187
Coefficient of variation (CV)36.51181205
Kurtosis1799.08173
Mean0.0008648850036
Median Absolute Deviation (MAD)0
Skewness40.06009184
Sum130
Variance0.0009972028432
MonotonicityNot monotonic
2025-10-30T00:20:35.465017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0150189
84.8%
1110
 
0.1%
210
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0150189
84.8%
1110
 
0.1%
210
 
< 0.1%
ValueCountFrequency (%)
210
 
< 0.1%
1110
 
0.1%
0150189
84.8%

V90
Real number (ℝ)

Missing  Zeros 

Distinct6
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.4027170695
Minimum0
Maximum5
Zeros91560
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.502518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5165562029
Coefficient of variation (CV)1.282677696
Kurtosis-0.2605677037
Mean0.4027170695
Median Absolute Deviation (MAD)0
Skewness0.7468158754
Sum60532
Variance0.2668303108
MonotonicityNot monotonic
2025-10-30T00:20:35.533647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
091560
51.7%
157130
32.2%
21480
 
0.8%
3118
 
0.1%
417
 
< 0.1%
54
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
091560
51.7%
157130
32.2%
21480
 
0.8%
3118
 
0.1%
417
 
< 0.1%
ValueCountFrequency (%)
54
 
< 0.1%
417
 
< 0.1%
3118
 
0.1%
21480
 
0.8%
157130
32.2%

V91
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.4214451563
Minimum0
Maximum6
Zeros91341
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.563396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5624605126
Coefficient of variation (CV)1.334599542
Kurtosis3.208770834
Mean0.4214451563
Median Absolute Deviation (MAD)0
Skewness1.257037906
Sum63347
Variance0.3163618283
MonotonicityNot monotonic
2025-10-30T00:20:35.596050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
091341
51.6%
155330
31.2%
23144
 
1.8%
3328
 
0.2%
488
 
< 0.1%
575
 
< 0.1%
63
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
091341
51.6%
155330
31.2%
23144
 
1.8%
3328
 
0.2%
488
 
< 0.1%
ValueCountFrequency (%)
63
 
< 0.1%
575
 
< 0.1%
488
 
< 0.1%
3328
 
0.2%
23144
1.8%

V92
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1499843655
Minimum0
Maximum6
Zeros128590
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.625751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3756176883
Coefficient of variation (CV)2.504378952
Kurtosis7.608132653
Mean0.1499843655
Median Absolute Deviation (MAD)0
Skewness2.519208831
Sum22544
Variance0.1410886477
MonotonicityNot monotonic
2025-10-30T00:20:35.659020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0128590
72.6%
121055
 
11.9%
2533
 
0.3%
3106
 
0.1%
421
 
< 0.1%
53
 
< 0.1%
61
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0128590
72.6%
121055
 
11.9%
2533
 
0.3%
3106
 
0.1%
421
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
53
 
< 0.1%
421
 
< 0.1%
3106
 
0.1%
2533
0.3%

V93
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1545616031
Minimum0
Maximum7
Zeros128589
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.695970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4027841146
Coefficient of variation (CV)2.605977853
Kurtosis27.22769774
Mean0.1545616031
Median Absolute Deviation (MAD)0
Skewness3.594429145
Sum23232
Variance0.162235043
MonotonicityNot monotonic
2025-10-30T00:20:35.727859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0128589
72.6%
120656
 
11.7%
2813
 
0.5%
3171
 
0.1%
732
 
< 0.1%
429
 
< 0.1%
517
 
< 0.1%
62
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0128589
72.6%
120656
 
11.7%
2813
 
0.5%
3171
 
0.1%
429
 
< 0.1%
ValueCountFrequency (%)
732
 
< 0.1%
62
 
< 0.1%
517
 
< 0.1%
429
 
< 0.1%
3171
0.1%

V94
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing26853
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.1368248076
Minimum0
Maximum2
Zeros129745
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.758690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3437021638
Coefficient of variation (CV)2.511987189
Kurtosis2.475220978
Mean0.1368248076
Median Absolute Deviation (MAD)0
Skewness2.114562721
Sum20566
Variance0.1181311774
MonotonicityNot monotonic
2025-10-30T00:20:35.791337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0129745
73.2%
120562
 
11.6%
22
 
< 0.1%
(Missing)26853
 
15.2%
ValueCountFrequency (%)
0129745
73.2%
120562
 
11.6%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
120562
 
11.6%
0129745
73.2%

V95
Real number (ℝ)

Skewed  Zeros 

Distinct378
Distinct (%)0.2%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.069382476
Minimum0
Maximum874
Zeros153075
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.834474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum874
Range874
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.60739894
Coefficient of variation (CV)20.20549188
Kurtosis971.1619015
Mean1.069382476
Median Absolute Deviation (MAD)0
Skewness29.94907535
Sum189347
Variance466.8796891
MonotonicityNot monotonic
2025-10-30T00:20:35.883087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0153075
86.4%
115771
 
8.9%
24330
 
2.4%
31735
 
1.0%
4772
 
0.4%
5401
 
0.2%
6206
 
0.1%
7128
 
0.1%
881
 
< 0.1%
953
 
< 0.1%
Other values (368)510
 
0.3%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0153075
86.4%
115771
 
8.9%
24330
 
2.4%
31735
 
1.0%
4772
 
0.4%
ValueCountFrequency (%)
8741
< 0.1%
8721
< 0.1%
8711
< 0.1%
8651
< 0.1%
8621
< 0.1%

V96
Real number (ℝ)

Skewed  Zeros 

Distinct519
Distinct (%)0.3%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.061390925
Minimum0
Maximum1408
Zeros109789
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:35.934595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum1408
Range1408
Interquartile range (IQR)1

Descriptive statistics

Standard deviation41.06063823
Coefficient of variation (CV)13.4124126
Kurtosis719.5717063
Mean3.061390925
Median Absolute Deviation (MAD)0
Skewness25.88437771
Sum542056
Variance1685.976012
MonotonicityNot monotonic
2025-10-30T00:20:35.985748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0109789
62.0%
128724
 
16.2%
214075
 
7.9%
37645
 
4.3%
44759
 
2.7%
52860
 
1.6%
61917
 
1.1%
71291
 
0.7%
8943
 
0.5%
9727
 
0.4%
Other values (509)4332
 
2.4%
ValueCountFrequency (%)
0109789
62.0%
128724
 
16.2%
214075
 
7.9%
37645
 
4.3%
44759
 
2.7%
ValueCountFrequency (%)
14081
< 0.1%
14071
< 0.1%
14062
< 0.1%
14051
< 0.1%
14021
< 0.1%

V97
Real number (ℝ)

Skewed  Zeros 

Distinct407
Distinct (%)0.2%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.764297252
Minimum0
Maximum974
Zeros136050
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.036617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum974
Range974
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.35189185
Coefficient of variation (CV)16.06979313
Kurtosis681.1177199
Mean1.764297252
Median Absolute Deviation (MAD)0
Skewness25.16612459
Sum312390
Variance803.8297716
MonotonicityNot monotonic
2025-10-30T00:20:36.086833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0136050
76.8%
123617
 
13.3%
27851
 
4.4%
33383
 
1.9%
41825
 
1.0%
51121
 
0.6%
6731
 
0.4%
7446
 
0.3%
8350
 
0.2%
9244
 
0.1%
Other values (397)1444
 
0.8%
ValueCountFrequency (%)
0136050
76.8%
123617
 
13.3%
27851
 
4.4%
33383
 
1.9%
41825
 
1.0%
ValueCountFrequency (%)
9741
< 0.1%
9721
< 0.1%
9631
< 0.1%
9611
< 0.1%
9601
< 0.1%

V98
Real number (ℝ)

Zeros 

Distinct11
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.06274073488
Minimum0
Maximum11
Zeros167512
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.129809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2880182918
Coefficient of variation (CV)4.590610747
Kurtosis72.24843012
Mean0.06274073488
Median Absolute Deviation (MAD)0
Skewness6.439783945
Sum11109
Variance0.08295453644
MonotonicityNot monotonic
2025-10-30T00:20:36.163146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0167512
94.6%
18354
 
4.7%
2941
 
0.5%
3197
 
0.1%
435
 
< 0.1%
511
 
< 0.1%
66
 
< 0.1%
83
 
< 0.1%
111
 
< 0.1%
91
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0167512
94.6%
18354
 
4.7%
2941
 
0.5%
3197
 
0.1%
435
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
91
 
< 0.1%
83
< 0.1%
71
 
< 0.1%
66
< 0.1%

V99
Real number (ℝ)

Zeros 

Distinct85
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.8992443325
Minimum0
Maximum88
Zeros121007
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.205350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum88
Range88
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.7293737
Coefficient of variation (CV)3.035185879
Kurtosis217.4636672
Mean0.8992443325
Median Absolute Deviation (MAD)0
Skewness11.12132916
Sum159222
Variance7.449480794
MonotonicityNot monotonic
2025-10-30T00:20:36.254098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0121007
68.3%
125928
 
14.6%
212125
 
6.8%
36347
 
3.6%
43945
 
2.2%
52139
 
1.2%
61417
 
0.8%
7976
 
0.6%
8671
 
0.4%
9504
 
0.3%
Other values (75)2003
 
1.1%
ValueCountFrequency (%)
0121007
68.3%
125928
 
14.6%
212125
 
6.8%
36347
 
3.6%
43945
 
2.2%
ValueCountFrequency (%)
881
 
< 0.1%
861
 
< 0.1%
853
< 0.1%
843
< 0.1%
835
< 0.1%

V100
Real number (ℝ)

Zeros 

Distinct28
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.275598378
Minimum0
Maximum28
Zeros148819
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.298693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9543649079
Coefficient of variation (CV)3.462882891
Kurtosis132.1666669
Mean0.275598378
Median Absolute Deviation (MAD)0
Skewness8.837060058
Sum48798
Variance0.9108123774
MonotonicityNot monotonic
2025-10-30T00:20:36.372444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0148819
84.0%
119165
 
10.8%
24962
 
2.8%
31937
 
1.1%
41091
 
0.6%
5216
 
0.1%
10211
 
0.1%
7174
 
0.1%
9125
 
0.1%
6124
 
0.1%
Other values (18)238
 
0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0148819
84.0%
119165
 
10.8%
24962
 
2.8%
31937
 
1.1%
41091
 
0.6%
ValueCountFrequency (%)
284
< 0.1%
272
< 0.1%
251
 
< 0.1%
241
 
< 0.1%
232
< 0.1%

V101
Real number (ℝ)

Skewed  Zeros 

Distinct358
Distinct (%)0.2%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.9191864996
Minimum0
Maximum863
Zeros166786
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.427447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum863
Range863
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.1507663
Coefficient of variation (CV)23.01031
Kurtosis994.1731907
Mean0.9191864996
Median Absolute Deviation (MAD)0
Skewness30.3322355
Sum162753
Variance447.3549152
MonotonicityNot monotonic
2025-10-30T00:20:36.557480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166786
94.1%
16047
 
3.4%
22023
 
1.1%
3877
 
0.5%
4415
 
0.2%
5223
 
0.1%
6106
 
0.1%
767
 
< 0.1%
848
 
< 0.1%
924
 
< 0.1%
Other values (348)446
 
0.3%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0166786
94.1%
16047
 
3.4%
22023
 
1.1%
3877
 
0.5%
4415
 
0.2%
ValueCountFrequency (%)
8631
< 0.1%
8611
< 0.1%
8601
< 0.1%
8541
< 0.1%
8511
< 0.1%

V102
Real number (ℝ)

Skewed  Zeros 

Distinct464
Distinct (%)0.3%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.875309214
Minimum0
Maximum1285
Zeros160755
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.648831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1285
Range1285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.72270016
Coefficient of variation (CV)19.5822107
Kurtosis769.9453388
Mean1.875309214
Median Absolute Deviation (MAD)0
Skewness26.82336351
Sum332046
Variance1348.556707
MonotonicityNot monotonic
2025-10-30T00:20:36.722148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160755
90.7%
17404
 
4.2%
23116
 
1.8%
31591
 
0.9%
4959
 
0.5%
5614
 
0.3%
6427
 
0.2%
7274
 
0.2%
8213
 
0.1%
9139
 
0.1%
Other values (454)1570
 
0.9%
ValueCountFrequency (%)
0160755
90.7%
17404
 
4.2%
23116
 
1.8%
31591
 
0.9%
4959
 
0.5%
ValueCountFrequency (%)
12858
< 0.1%
12781
 
< 0.1%
12761
 
< 0.1%
12671
 
< 0.1%
12651
 
< 0.1%

V103
Real number (ℝ)

Skewed  Zeros 

Distinct385
Distinct (%)0.2%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.319887949
Minimum0
Maximum926
Zeros164221
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.773059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum926
Range926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.33046491
Coefficient of variation (CV)19.94901532
Kurtosis722.6269308
Mean1.319887949
Median Absolute Deviation (MAD)0
Skewness25.88328461
Sum233702
Variance693.2933822
MonotonicityNot monotonic
2025-10-30T00:20:36.825651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0164221
92.7%
16491
 
3.7%
22500
 
1.4%
31232
 
0.7%
4683
 
0.4%
5415
 
0.2%
6276
 
0.2%
7153
 
0.1%
8122
 
0.1%
991
 
0.1%
Other values (375)878
 
0.5%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0164221
92.7%
16491
 
3.7%
22500
 
1.4%
31232
 
0.7%
4683
 
0.4%
ValueCountFrequency (%)
9261
< 0.1%
9241
< 0.1%
9151
< 0.1%
9131
< 0.1%
9121
< 0.1%

V104
Real number (ℝ)

Zeros 

Distinct16
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.08619014808
Minimum0
Maximum15
Zeros169045
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:36.866029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.659006102
Coefficient of variation (CV)7.645956257
Kurtosis264.8303812
Mean0.08619014808
Median Absolute Deviation (MAD)0
Skewness14.88662289
Sum15261
Variance0.4342890425
MonotonicityNot monotonic
2025-10-30T00:20:36.907967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0169045
95.4%
15858
 
3.3%
21165
 
0.7%
3351
 
0.2%
11295
 
0.2%
4114
 
0.1%
1574
 
< 0.1%
547
 
< 0.1%
636
 
< 0.1%
1226
 
< 0.1%
Other values (6)51
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0169045
95.4%
15858
 
3.3%
21165
 
0.7%
3351
 
0.2%
4114
 
0.1%
ValueCountFrequency (%)
1574
 
< 0.1%
145
 
< 0.1%
132
 
< 0.1%
1226
 
< 0.1%
11295
0.2%

V105
Real number (ℝ)

Skewed  Zeros 

Distinct67
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.2850470457
Minimum0
Maximum96
Zeros164315
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.043789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum96
Range96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.399009196
Coefficient of variation (CV)11.92437967
Kurtosis453.2459985
Mean0.2850470457
Median Absolute Deviation (MAD)0
Skewness20.63773793
Sum50471
Variance11.55326351
MonotonicityNot monotonic
2025-10-30T00:20:37.094271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0164315
92.7%
18367
 
4.7%
22178
 
1.2%
3774
 
0.4%
4315
 
0.2%
77259
 
0.1%
5176
 
0.1%
6143
 
0.1%
785
 
< 0.1%
3861
 
< 0.1%
Other values (57)389
 
0.2%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0164315
92.7%
18367
 
4.7%
22178
 
1.2%
3774
 
0.4%
4315
 
0.2%
ValueCountFrequency (%)
961
 
< 0.1%
951
 
< 0.1%
943
< 0.1%
911
 
< 0.1%
901
 
< 0.1%

V106
Real number (ℝ)

Zeros 

Distinct47
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.1673086264
Minimum0
Maximum55
Zeros167408
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.140536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.84846741
Coefficient of variation (CV)11.04824928
Kurtosis390.8669114
Mean0.1673086264
Median Absolute Deviation (MAD)0
Skewness19.14854027
Sum29624
Variance3.416831766
MonotonicityNot monotonic
2025-10-30T00:20:37.187219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0167408
94.5%
16759
 
3.8%
21538
 
0.9%
3478
 
0.3%
4170
 
0.1%
35132
 
0.1%
588
 
< 0.1%
3262
 
< 0.1%
3958
 
< 0.1%
652
 
< 0.1%
Other values (37)317
 
0.2%
(Missing)100
 
0.1%
ValueCountFrequency (%)
0167408
94.5%
16759
 
3.8%
21538
 
0.9%
3478
 
0.3%
4170
 
0.1%
ValueCountFrequency (%)
551
< 0.1%
541
< 0.1%
531
< 0.1%
521
< 0.1%
501
< 0.1%

V107
Real number (ℝ)

Skewed 

Distinct2
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.999610306
Minimum0
Maximum1
Zeros69
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.223158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01973687777
Coefficient of variation (CV)0.01974457211
Kurtosis2561.18869
Mean0.999610306
Median Absolute Deviation (MAD)0
Skewness-50.62765805
Sum176993
Variance0.0003895443441
MonotonicityNot monotonic
2025-10-30T00:20:37.259506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1176993
99.9%
069
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
069
 
< 0.1%
1176993
99.9%
ValueCountFrequency (%)
1176993
99.9%
069
 
< 0.1%

V108
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.0044956
Minimum0
Maximum7
Zeros69
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.290925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07990220209
Coefficient of variation (CV)0.07954460134
Kurtosis698.5586769
Mean1.0044956
Median Absolute Deviation (MAD)0
Skewness19.00683496
Sum177858
Variance0.006384361898
MonotonicityNot monotonic
2025-10-30T00:20:37.324559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1176193
99.5%
2757
 
0.4%
069
 
< 0.1%
328
 
< 0.1%
412
 
< 0.1%
72
 
< 0.1%
51
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
069
 
< 0.1%
1176193
99.5%
2757
 
0.4%
328
 
< 0.1%
412
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
51
 
< 0.1%
412
 
< 0.1%
328
 
< 0.1%
2757
0.4%

V109
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.014797077
Minimum0
Maximum7
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.356640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1275195725
Coefficient of variation (CV)0.1256601693
Kurtosis149.473459
Mean1.014797077
Median Absolute Deviation (MAD)0
Skewness9.923931904
Sum179682
Variance0.01626124137
MonotonicityNot monotonic
2025-10-30T00:20:37.388795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1174509
98.5%
22465
 
1.4%
356
 
< 0.1%
015
 
< 0.1%
414
 
< 0.1%
72
 
< 0.1%
51
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
015
 
< 0.1%
1174509
98.5%
22465
 
1.4%
356
 
< 0.1%
414
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
51
 
< 0.1%
414
 
< 0.1%
356
 
< 0.1%
22465
1.4%

V110
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.007709164
Minimum0
Maximum7
Zeros50
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.419217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09695661431
Coefficient of variation (CV)0.09621487804
Kurtosis356.4225257
Mean1.007709164
Median Absolute Deviation (MAD)0
Skewness14.20510856
Sum178427
Variance0.009400585059
MonotonicityNot monotonic
2025-10-30T00:20:37.454995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1175667
99.2%
21297
 
0.7%
050
 
< 0.1%
333
 
< 0.1%
412
 
< 0.1%
72
 
< 0.1%
51
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
050
 
< 0.1%
1175667
99.2%
21297
 
0.7%
333
 
< 0.1%
412
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
51
 
< 0.1%
412
 
< 0.1%
333
 
< 0.1%
21297
0.7%

V111
Real number (ℝ)

Skewed 

Distinct8
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.002688324
Minimum0
Maximum9
Zeros69
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.487297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07218942704
Coefficient of variation (CV)0.07199587881
Kurtosis2382.736904
Mean1.002688324
Median Absolute Deviation (MAD)0
Skewness33.96724501
Sum177538
Variance0.005211313377
MonotonicityNot monotonic
2025-10-30T00:20:37.519731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1176535
99.6%
2404
 
0.2%
069
 
< 0.1%
335
 
< 0.1%
414
 
< 0.1%
92
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
069
 
< 0.1%
1176535
99.6%
2404
 
0.2%
335
 
< 0.1%
414
 
< 0.1%
ValueCountFrequency (%)
92
 
< 0.1%
61
 
< 0.1%
52
 
< 0.1%
414
 
< 0.1%
335
< 0.1%

V112
Real number (ℝ)

Skewed 

Distinct8
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.005625148
Minimum0
Maximum9
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.550881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08681227339
Coefficient of variation (CV)0.08632667306
Kurtosis1177.68845
Mean1.005625148
Median Absolute Deviation (MAD)0
Skewness23.99371303
Sum178058
Variance0.007536370812
MonotonicityNot monotonic
2025-10-30T00:20:37.582003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1176125
99.4%
2866
 
0.5%
337
 
< 0.1%
015
 
< 0.1%
414
 
< 0.1%
92
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
015
 
< 0.1%
1176125
99.4%
2866
 
0.5%
337
 
< 0.1%
414
 
< 0.1%
ValueCountFrequency (%)
92
 
< 0.1%
61
 
< 0.1%
52
 
< 0.1%
414
 
< 0.1%
337
< 0.1%

V113
Real number (ℝ)

Skewed 

Distinct8
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.003580667
Minimum0
Maximum9
Zeros50
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.612415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07685078317
Coefficient of variation (CV)0.07657658794
Kurtosis1876.742656
Mean1.003580667
Median Absolute Deviation (MAD)0
Skewness30.22187874
Sum177696
Variance0.005906042874
MonotonicityNot monotonic
2025-10-30T00:20:37.643517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1176417
99.6%
2539
 
0.3%
050
 
< 0.1%
337
 
< 0.1%
414
 
< 0.1%
92
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
050
 
< 0.1%
1176417
99.6%
2539
 
0.3%
337
 
< 0.1%
414
 
< 0.1%
ValueCountFrequency (%)
92
 
< 0.1%
61
 
< 0.1%
52
 
< 0.1%
414
 
< 0.1%
337
< 0.1%

V114
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.009358304
Minimum0
Maximum6
Zeros70
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.676715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1108962745
Coefficient of variation (CV)0.1098680955
Kurtosis293.4353104
Mean1.009358304
Median Absolute Deviation (MAD)0
Skewness13.49103093
Sum178719
Variance0.01229798369
MonotonicityNot monotonic
2025-10-30T00:20:37.708071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1175406
99.0%
21485
 
0.8%
373
 
< 0.1%
070
 
< 0.1%
421
 
< 0.1%
65
 
< 0.1%
52
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
070
 
< 0.1%
1175406
99.0%
21485
 
0.8%
373
 
< 0.1%
421
 
< 0.1%
ValueCountFrequency (%)
65
 
< 0.1%
52
 
< 0.1%
421
 
< 0.1%
373
 
< 0.1%
21485
0.8%

V115
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.032491444
Minimum0
Maximum6
Zeros16
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.740185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1908034745
Coefficient of variation (CV)0.1847990854
Kurtosis58.34735454
Mean1.032491444
Median Absolute Deviation (MAD)0
Skewness6.654579123
Sum182815
Variance0.03640596588
MonotonicityNot monotonic
2025-10-30T00:20:37.771977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1171636
96.9%
25099
 
2.9%
3275
 
0.2%
429
 
< 0.1%
016
 
< 0.1%
65
 
< 0.1%
52
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
016
 
< 0.1%
1171636
96.9%
25099
 
2.9%
3275
 
0.2%
429
 
< 0.1%
ValueCountFrequency (%)
65
 
< 0.1%
52
 
< 0.1%
429
 
< 0.1%
3275
 
0.2%
25099
2.9%

V116
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.016011341
Minimum0
Maximum6
Zeros51
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.802368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1381974931
Coefficient of variation (CV)0.1360196364
Kurtosis145.5527588
Mean1.016011341
Median Absolute Deviation (MAD)0
Skewness9.890004679
Sum179897
Variance0.01909854711
MonotonicityNot monotonic
2025-10-30T00:20:37.834384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1174312
98.4%
22553
 
1.4%
3117
 
0.1%
051
 
< 0.1%
422
 
< 0.1%
65
 
< 0.1%
52
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
051
 
< 0.1%
1174312
98.4%
22553
 
1.4%
3117
 
0.1%
422
 
< 0.1%
ValueCountFrequency (%)
65
 
< 0.1%
52
 
< 0.1%
422
 
< 0.1%
3117
 
0.1%
22553
1.4%

V117
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.000434876
Minimum0
Maximum2
Zeros69
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.864760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03484367475
Coefficient of variation (CV)0.03482852866
Kurtosis820.3116912
Mean1.000434876
Median Absolute Deviation (MAD)0
Skewness10.24273877
Sum177139
Variance0.00121408167
MonotonicityNot monotonic
2025-10-30T00:20:37.901632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1176847
99.8%
2146
 
0.1%
069
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
069
 
< 0.1%
1176847
99.8%
2146
 
0.1%
ValueCountFrequency (%)
2146
 
0.1%
1176847
99.8%
069
 
< 0.1%

V118
Real number (ℝ)

Skewed 

Distinct3
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.001496651
Minimum0
Maximum2
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:37.932805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04079034812
Coefficient of variation (CV)0.04072939045
Kurtosis595.6157654
Mean1.001496651
Median Absolute Deviation (MAD)0
Skewness21.94226378
Sum177327
Variance0.0016638525
MonotonicityNot monotonic
2025-10-30T00:20:37.966984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1176767
99.8%
2280
 
0.2%
015
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
015
 
< 0.1%
1176767
99.8%
2280
 
0.2%
ValueCountFrequency (%)
2280
 
0.2%
1176767
99.8%
015
 
< 0.1%

V119
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.000796331
Minimum0
Maximum2
Zeros50
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.000880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03688466741
Coefficient of variation (CV)0.03685531837
Kurtosis731.0351764
Mean1.000796331
Median Absolute Deviation (MAD)0
Skewness15.80472893
Sum177203
Variance0.00136047869
MonotonicityNot monotonic
2025-10-30T00:20:38.035524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1176821
99.8%
2191
 
0.1%
050
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
050
 
< 0.1%
1176821
99.8%
2191
 
0.1%
ValueCountFrequency (%)
2191
 
0.1%
1176821
99.8%
050
 
< 0.1%

V120
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.000937525
Minimum0
Maximum3
Zeros69
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.066351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04169693686
Coefficient of variation (CV)0.04165788157
Kurtosis616.0722017
Mean1.000937525
Median Absolute Deviation (MAD)0
Skewness13.79975936
Sum177228
Variance0.001738634543
MonotonicityNot monotonic
2025-10-30T00:20:38.097054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1176760
99.8%
2231
 
0.1%
069
 
< 0.1%
32
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
069
 
< 0.1%
1176760
99.8%
2231
 
0.1%
32
 
< 0.1%
ValueCountFrequency (%)
32
 
< 0.1%
2231
 
0.1%
1176760
99.8%
069
 
< 0.1%

V121
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.004173679
Minimum0
Maximum3
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.130695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06594169674
Coefficient of variation (CV)0.06566762115
Kurtosis231.3516062
Mean1.004173679
Median Absolute Deviation (MAD)0
Skewness14.60236382
Sum177801
Variance0.004348307369
MonotonicityNot monotonic
2025-10-30T00:20:38.161193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1176295
99.5%
2750
 
0.4%
015
 
< 0.1%
32
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
015
 
< 0.1%
1176295
99.5%
2750
 
0.4%
32
 
< 0.1%
ValueCountFrequency (%)
32
 
< 0.1%
2750
 
0.4%
1176295
99.5%
015
 
< 0.1%

V122
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.001858106
Minimum0
Maximum3
Zeros50
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.190184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04941692333
Coefficient of variation (CV)0.04932527174
Kurtosis427.4259709
Mean1.001858106
Median Absolute Deviation (MAD)0
Skewness15.84627561
Sum177391
Variance0.002442032311
MonotonicityNot monotonic
2025-10-30T00:20:38.220709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1176635
99.7%
2375
 
0.2%
050
 
< 0.1%
32
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
050
 
< 0.1%
1176635
99.7%
2375
 
0.2%
32
 
< 0.1%
ValueCountFrequency (%)
32
 
< 0.1%
2375
 
0.2%
1176635
99.7%
050
 
< 0.1%

V123
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.031503089
Minimum0
Maximum13
Zeros70
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.254087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2323423201
Coefficient of variation (CV)0.2252463638
Kurtosis333.3896104
Mean1.031503089
Median Absolute Deviation (MAD)0
Skewness13.44720994
Sum182640
Variance0.05398295372
MonotonicityNot monotonic
2025-10-30T00:20:38.290241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1172391
97.3%
23980
 
2.2%
3418
 
0.2%
4111
 
0.1%
070
 
< 0.1%
543
 
< 0.1%
715
 
< 0.1%
613
 
< 0.1%
810
 
< 0.1%
95
 
< 0.1%
Other values (3)6
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
070
 
< 0.1%
1172391
97.3%
23980
 
2.2%
3418
 
0.2%
4111
 
0.1%
ValueCountFrequency (%)
132
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
95
< 0.1%
810
< 0.1%

V124
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.093520914
Minimum0
Maximum13
Zeros16
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.330976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3779791062
Coefficient of variation (CV)0.3456532943
Kurtosis67.60819528
Mean1.093520914
Median Absolute Deviation (MAD)0
Skewness6.239981824
Sum193621
Variance0.1428682047
MonotonicityNot monotonic
2025-10-30T00:20:38.368969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1163802
92.5%
211011
 
6.2%
31468
 
0.8%
4602
 
0.3%
583
 
< 0.1%
640
 
< 0.1%
717
 
< 0.1%
016
 
< 0.1%
810
 
< 0.1%
97
 
< 0.1%
Other values (3)6
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
016
 
< 0.1%
1163802
92.5%
211011
 
6.2%
31468
 
0.8%
4602
 
0.3%
ValueCountFrequency (%)
132
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
97
< 0.1%
810
< 0.1%

V125
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.051016028
Minimum0
Maximum13
Zeros51
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.403358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2838323091
Coefficient of variation (CV)0.2700551671
Kurtosis162.7404806
Mean1.051016028
Median Absolute Deviation (MAD)0
Skewness9.331745675
Sum186095
Variance0.08056077971
MonotonicityNot monotonic
2025-10-30T00:20:38.440711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1169601
95.7%
26310
 
3.6%
3760
 
0.4%
4238
 
0.1%
552
 
< 0.1%
051
 
< 0.1%
715
 
< 0.1%
614
 
< 0.1%
810
 
< 0.1%
95
 
< 0.1%
Other values (3)6
 
< 0.1%
(Missing)100
 
0.1%
ValueCountFrequency (%)
051
 
< 0.1%
1169601
95.7%
26310
 
3.6%
3760
 
0.4%
4238
 
0.1%
ValueCountFrequency (%)
132
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
95
< 0.1%
810
< 0.1%

V126
Real number (ℝ)

Skewed  Zeros 

Distinct4576
Distinct (%)2.6%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean133.5053941
Minimum0
Maximum94265
Zeros153075
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.485788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183
Maximum94265
Range94265
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2400.645244
Coefficient of variation (CV)17.98163483
Kurtosis909.9834259
Mean133.5053941
Median Absolute Deviation (MAD)0
Skewness28.92717083
Sum23638732.09
Variance5763097.586
MonotonicityNot monotonic
2025-10-30T00:20:38.537949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0153075
86.4%
1171053
 
0.6%
591037
 
0.6%
100693
 
0.4%
49564
 
0.3%
50443
 
0.3%
226437
 
0.2%
57.95000076433
 
0.2%
200428
 
0.2%
107.9499969426
 
0.2%
Other values (4566)18473
 
10.4%
ValueCountFrequency (%)
0153075
86.4%
0.4668999911
 
< 0.1%
0.87819999461
 
< 0.1%
0.89090001581
 
< 0.1%
1.3085999491
 
< 0.1%
ValueCountFrequency (%)
942651
< 0.1%
940531
< 0.1%
939471
< 0.1%
933111
< 0.1%
929931
< 0.1%

V127
Real number (ℝ)

Skewed  Zeros 

Distinct11795
Distinct (%)6.7%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean342.436528
Minimum0
Maximum145999
Zeros109789
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.590172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3107.9499969
95-th percentile718.475
Maximum145999
Range145999
Interquartile range (IQR)107.9499969

Descriptive statistics

Standard deviation4319.926431
Coefficient of variation (CV)12.61526175
Kurtosis704.5325281
Mean342.436528
Median Absolute Deviation (MAD)0
Skewness25.50855897
Sum60632496.51
Variance18661764.37
MonotonicityNot monotonic
2025-10-30T00:20:38.644117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0109789
62.0%
107.94999691767
 
1.0%
57.950000761635
 
0.9%
591576
 
0.9%
1171537
 
0.9%
100970
 
0.5%
49809
 
0.5%
50679
 
0.4%
226624
 
0.4%
47.95000076613
 
0.3%
Other values (11785)57063
32.2%
ValueCountFrequency (%)
0109789
62.0%
0.4668999911
 
< 0.1%
0.87819999461
 
< 0.1%
0.89090001581
 
< 0.1%
1.3085999491
 
< 0.1%
ValueCountFrequency (%)
1459991
< 0.1%
1458931
< 0.1%
1458061
< 0.1%
1457871
< 0.1%
1456961
< 0.1%

V128
Real number (ℝ)

Skewed  Zeros 

Distinct6740
Distinct (%)3.8%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean208.565771
Minimum0
Maximum103383
Zeros136050
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.694716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile352
Maximum103383
Range103383
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3071.424601
Coefficient of variation (CV)14.72640782
Kurtosis664.182301
Mean208.565771
Median Absolute Deviation (MAD)0
Skewness24.77188326
Sum36929072.54
Variance9433649.082
MonotonicityNot monotonic
2025-10-30T00:20:38.745261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0136050
76.8%
591633
 
0.9%
1171587
 
0.9%
57.950000761035
 
0.6%
107.9499969829
 
0.5%
100794
 
0.4%
49785
 
0.4%
226643
 
0.4%
50564
 
0.3%
39524
 
0.3%
Other values (6730)32618
 
18.4%
ValueCountFrequency (%)
0136050
76.8%
0.4668999911
 
< 0.1%
0.87819999461
 
< 0.1%
0.89090001581
 
< 0.1%
1.3085999491
 
< 0.1%
ValueCountFrequency (%)
1033831
< 0.1%
1032711
< 0.1%
1027671
< 0.1%
1026551
< 0.1%
1025991
< 0.1%

V129
Real number (ℝ)

Skewed  Zeros 

Distinct1089
Distinct (%)0.6%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8.760700365
Minimum0
Maximum12500
Zeros167512
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.798191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85.50565663
Coefficient of variation (CV)9.76013938
Kurtosis7627.388007
Mean8.760700365
Median Absolute Deviation (MAD)0
Skewness63.3856744
Sum1551187.128
Variance7311.217316
MonotonicityNot monotonic
2025-10-30T00:20:38.848920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0167512
94.6%
59773
 
0.4%
117693
 
0.4%
49416
 
0.2%
39284
 
0.2%
29282
 
0.2%
57.95000076262
 
0.1%
107.9499969259
 
0.1%
226247
 
0.1%
34201
 
0.1%
Other values (1079)6133
 
3.5%
ValueCountFrequency (%)
0167512
94.6%
3.3145999911
 
< 0.1%
4.5473999981
 
< 0.1%
516
 
< 0.1%
5.0721001631
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
12307.51
< 0.1%
110001
< 0.1%
96001
< 0.1%
3162.9499512
< 0.1%

V130
Real number (ℝ)

Zeros 

Distinct7002
Distinct (%)4.0%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean92.6186915
Minimum0
Maximum30250
Zeros121007
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.895233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q359
95-th percentile447.7999878
Maximum30250
Range30250
Interquartile range (IQR)59

Descriptive statistics

Standard deviation312.9414627
Coefficient of variation (CV)3.378815417
Kurtosis1320.675127
Mean92.6186915
Median Absolute Deviation (MAD)0
Skewness19.64750999
Sum16399250.75
Variance97932.3591
MonotonicityNot monotonic
2025-10-30T00:20:38.944340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0121007
68.3%
107.94999691789
 
1.0%
57.950000761640
 
0.9%
591636
 
0.9%
1171533
 
0.9%
49871
 
0.5%
226631
 
0.4%
47.95000076614
 
0.3%
35.95000076574
 
0.3%
39523
 
0.3%
Other values (6992)46244
 
26.1%
ValueCountFrequency (%)
0121007
68.3%
21
 
< 0.1%
3.2583999631
 
< 0.1%
3.3145999911
 
< 0.1%
4.5473999981
 
< 0.1%
ValueCountFrequency (%)
302502
< 0.1%
256001
< 0.1%
125001
< 0.1%
12307.51
< 0.1%
116001
< 0.1%

V131
Real number (ℝ)

Zeros 

Distinct2608
Distinct (%)1.5%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.11590504
Minimum0
Maximum12500
Zeros148819
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:38.995597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation139.8375962
Coefficient of variation (CV)4.49408738
Kurtosis1130.65811
Mean31.11590504
Median Absolute Deviation (MAD)0
Skewness19.58111213
Sum5509444.379
Variance19554.55331
MonotonicityNot monotonic
2025-10-30T00:20:39.049159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0148819
84.0%
591653
 
0.9%
1171559
 
0.9%
57.95000076918
 
0.5%
49787
 
0.4%
107.9499969710
 
0.4%
226602
 
0.3%
39560
 
0.3%
29473
 
0.3%
171432
 
0.2%
Other values (2598)20549
 
11.6%
ValueCountFrequency (%)
0148819
84.0%
3.3145999911
 
< 0.1%
4.5473999981
 
< 0.1%
514
 
< 0.1%
5.0721001631
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
12307.51
< 0.1%
110001
< 0.1%
96001
< 0.1%
54001
< 0.1%

V132
Real number (ℝ)

Skewed  Zeros 

Distinct2878
Distinct (%)1.6%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean106.5798401
Minimum0
Maximum93100
Zeros166786
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.098471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile47.95000076
Maximum93100
Range93100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2325.958233
Coefficient of variation (CV)21.82362283
Kurtosis965.2416862
Mean106.5798401
Median Absolute Deviation (MAD)0
Skewness29.91883341
Sum18871239.65
Variance5410081.699
MonotonicityNot monotonic
2025-10-30T00:20:39.147726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166786
94.1%
117471
 
0.3%
59386
 
0.2%
100288
 
0.2%
49234
 
0.1%
226199
 
0.1%
50196
 
0.1%
200183
 
0.1%
150182
 
0.1%
171144
 
0.1%
Other values (2868)7993
 
4.5%
ValueCountFrequency (%)
0166786
94.1%
0.4668999911
 
< 0.1%
0.87819999461
 
< 0.1%
0.89090001581
 
< 0.1%
1.3085999491
 
< 0.1%
ValueCountFrequency (%)
931001
< 0.1%
928881
< 0.1%
927821
< 0.1%
921461
< 0.1%
918281
< 0.1%

V133
Real number (ℝ)

Skewed  Zeros 

Distinct4628
Distinct (%)2.6%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean209.7679331
Minimum0
Maximum133915
Zeros160755
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.200333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile168.975
Maximum133915
Range133915
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3878.32874
Coefficient of variation (CV)18.48866355
Kurtosis764.7188299
Mean209.7679331
Median Absolute Deviation (MAD)0
Skewness26.698335
Sum37141929.77
Variance15041433.81
MonotonicityNot monotonic
2025-10-30T00:20:39.252416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160755
90.7%
117581
 
0.3%
59487
 
0.3%
100295
 
0.2%
226274
 
0.2%
49270
 
0.2%
50210
 
0.1%
200199
 
0.1%
150190
 
0.1%
171172
 
0.1%
Other values (4618)13629
 
7.7%
ValueCountFrequency (%)
0160755
90.7%
0.4668999911
 
< 0.1%
0.87819999461
 
< 0.1%
0.89090001581
 
< 0.1%
1.3085999491
 
< 0.1%
ValueCountFrequency (%)
1339158
< 0.1%
1336011
 
< 0.1%
1334891
 
< 0.1%
1329851
 
< 0.1%
1328731
 
< 0.1%

V134
Real number (ℝ)

Skewed  Zeros 

Distinct3700
Distinct (%)2.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean149.9441129
Minimum0
Maximum98364
Zeros164221
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.302303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile98
Maximum98364
Range98364
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2840.202568
Coefficient of variation (CV)18.94174112
Kurtosis719.9882181
Mean149.9441129
Median Absolute Deviation (MAD)0
Skewness25.83909563
Sum26549404.51
Variance8066750.626
MonotonicityNot monotonic
2025-10-30T00:20:39.355381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0164221
92.7%
117520
 
0.3%
59406
 
0.2%
100289
 
0.2%
226230
 
0.1%
49230
 
0.1%
50200
 
0.1%
150188
 
0.1%
200185
 
0.1%
171162
 
0.1%
Other values (3690)10431
 
5.9%
ValueCountFrequency (%)
0164221
92.7%
0.4668999911
 
< 0.1%
0.87819999461
 
< 0.1%
0.89090001581
 
< 0.1%
1.3085999491
 
< 0.1%
ValueCountFrequency (%)
983641
< 0.1%
982521
< 0.1%
977481
< 0.1%
976361
< 0.1%
975801
< 0.1%

V135
Real number (ℝ)

Skewed  Zeros 

Distinct1713
Distinct (%)1.0%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17.89669598
Minimum0
Maximum60500
Zeros169045
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.406639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum60500
Range60500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation332.2383392
Coefficient of variation (CV)18.5642277
Kurtosis18065.83956
Mean17.89669598
Median Absolute Deviation (MAD)0
Skewness118.4308114
Sum3168824.784
Variance110382.3141
MonotonicityNot monotonic
2025-10-30T00:20:39.459250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0169045
95.4%
100368
 
0.2%
117274
 
0.2%
1165258
 
0.1%
200236
 
0.1%
59223
 
0.1%
50187
 
0.1%
150181
 
0.1%
107.9499969155
 
0.1%
300154
 
0.1%
Other values (1703)5981
 
3.4%
ValueCountFrequency (%)
0169045
95.4%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
3.3835000991
 
< 0.1%
3.7316999441
 
< 0.1%
ValueCountFrequency (%)
605001
< 0.1%
520301
< 0.1%
512001
< 0.1%
508201
< 0.1%
432001
< 0.1%

V136
Real number (ℝ)

Skewed  Zeros 

Distinct2419
Distinct (%)1.4%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean39.55894436
Minimum0
Maximum60500
Zeros164315
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.506411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile77
Maximum60500
Range60500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation478.0698242
Coefficient of variation (CV)12.08499954
Kurtosis4330.027835
Mean39.55894436
Median Absolute Deviation (MAD)0
Skewness47.47000695
Sum7004385.805
Variance228550.7568
MonotonicityNot monotonic
2025-10-30T00:20:39.558014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0164315
92.7%
117426
 
0.2%
100417
 
0.2%
59382
 
0.2%
107.9499969292
 
0.2%
7709259
 
0.1%
200257
 
0.1%
57.95000076254
 
0.1%
226235
 
0.1%
50232
 
0.1%
Other values (2409)9993
 
5.6%
ValueCountFrequency (%)
0164315
92.7%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
3.3835000991
 
< 0.1%
3.7316999441
 
< 0.1%
ValueCountFrequency (%)
605001
< 0.1%
520301
< 0.1%
512001
< 0.1%
508201
< 0.1%
432001
< 0.1%

V137
Real number (ℝ)

Skewed  Zeros 

Distinct2002
Distinct (%)1.1%
Missing100
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean27.10120396
Minimum0
Maximum60500
Zeros167408
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.613430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30.95000076
Maximum60500
Range60500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation380.3797616
Coefficient of variation (CV)14.03553001
Kurtosis10532.16044
Mean27.10120396
Median Absolute Deviation (MAD)0
Skewness81.36104615
Sum4798593.376
Variance144688.763
MonotonicityNot monotonic
2025-10-30T00:20:39.664377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0167408
94.5%
100392
 
0.2%
117340
 
0.2%
59288
 
0.2%
200241
 
0.1%
50200
 
0.1%
150191
 
0.1%
107.9499969189
 
0.1%
226183
 
0.1%
57.95000076174
 
0.1%
Other values (1992)7456
 
4.2%
ValueCountFrequency (%)
0167408
94.5%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
3.3835000991
 
< 0.1%
3.7316999441
 
< 0.1%
ValueCountFrequency (%)
605001
< 0.1%
520301
< 0.1%
512001
< 0.1%
508201
< 0.1%
432001
< 0.1%

V138
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct14
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.03413093648
Minimum0
Maximum21
Zeros24292
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.702917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3821163974
Coefficient of variation (CV)11.19560249
Kurtosis758.3398658
Mean0.03413093648
Median Absolute Deviation (MAD)0
Skewness22.36378124
Sum843
Variance0.1460129412
MonotonicityNot monotonic
2025-10-30T00:20:39.735707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
024292
 
13.7%
1247
 
0.1%
268
 
< 0.1%
337
 
< 0.1%
418
 
< 0.1%
611
 
< 0.1%
510
 
< 0.1%
74
 
< 0.1%
84
 
< 0.1%
152
 
< 0.1%
Other values (4)6
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
024292
13.7%
1247
 
0.1%
268
 
< 0.1%
337
 
< 0.1%
418
 
< 0.1%
ValueCountFrequency (%)
211
< 0.1%
152
< 0.1%
121
< 0.1%
102
< 0.1%
92
< 0.1%

V139
Real number (ℝ)

Missing  Zeros 

Distinct29
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.071419896
Minimum0
Maximum28
Zeros6597
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.769916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.334342038
Coefficient of variation (CV)1.245395987
Kurtosis69.67672349
Mean1.071419896
Median Absolute Deviation (MAD)0
Skewness5.975309841
Sum26463
Variance1.780468674
MonotonicityNot monotonic
2025-10-30T00:20:39.808840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
114286
 
8.1%
06597
 
3.7%
21985
 
1.1%
3830
 
0.5%
4446
 
0.3%
5253
 
0.1%
6119
 
0.1%
753
 
< 0.1%
831
 
< 0.1%
920
 
< 0.1%
Other values (19)79
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06597
3.7%
114286
8.1%
21985
 
1.1%
3830
 
0.5%
4446
 
0.3%
ValueCountFrequency (%)
281
 
< 0.1%
271
 
< 0.1%
261
 
< 0.1%
251
 
< 0.1%
243
< 0.1%

V140
Real number (ℝ)

Missing  Zeros 

Distinct29
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.125956516
Minimum0
Maximum28
Zeros6589
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.852562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.475186142
Coefficient of variation (CV)1.310162623
Kurtosis57.65466865
Mean1.125956516
Median Absolute Deviation (MAD)0
Skewness5.63262723
Sum27810
Variance2.176174155
MonotonicityNot monotonic
2025-10-30T00:20:39.892075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
114022
 
7.9%
06589
 
3.7%
22016
 
1.1%
3869
 
0.5%
4504
 
0.3%
5257
 
0.1%
6165
 
0.1%
786
 
< 0.1%
851
 
< 0.1%
926
 
< 0.1%
Other values (19)114
 
0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06589
3.7%
114022
7.9%
22016
 
1.1%
3869
 
0.5%
4504
 
0.3%
ValueCountFrequency (%)
281
< 0.1%
272
< 0.1%
262
< 0.1%
252
< 0.1%
241
< 0.1%

V141
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.03817968339
Minimum0
Maximum4
Zeros23854
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.925338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2141822133
Coefficient of variation (CV)5.609847813
Kurtosis52.28661541
Mean0.03817968339
Median Absolute Deviation (MAD)0
Skewness6.535609831
Sum943
Variance0.04587402051
MonotonicityNot monotonic
2025-10-30T00:20:39.956779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
023854
 
13.5%
1761
 
0.4%
271
 
< 0.1%
312
 
< 0.1%
41
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
023854
13.5%
1761
 
0.4%
271
 
< 0.1%
312
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
312
 
< 0.1%
271
 
< 0.1%
1761
 
0.4%
023854
13.5%

V142
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.04911130005
Minimum0
Maximum7
Zeros23833
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:39.987580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3097354144
Coefficient of variation (CV)6.306805441
Kurtosis116.3110591
Mean0.04911130005
Median Absolute Deviation (MAD)0
Skewness9.406698678
Sum1213
Variance0.09593602693
MonotonicityNot monotonic
2025-10-30T00:20:40.018486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
023833
 
13.5%
1679
 
0.4%
299
 
0.1%
338
 
< 0.1%
434
 
< 0.1%
511
 
< 0.1%
64
 
< 0.1%
71
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
023833
13.5%
1679
 
0.4%
299
 
0.1%
338
 
< 0.1%
434
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
64
 
< 0.1%
511
 
< 0.1%
434
< 0.1%
338
< 0.1%

V143
Real number (ℝ)

Missing  Zeros 

Distinct371
Distinct (%)1.5%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean8.613967611
Minimum0
Maximum863
Zeros19188
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.066592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum863
Range863
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.63318418
Coefficient of variation (CV)6.574575937
Kurtosis130.0677225
Mean8.613967611
Median Absolute Deviation (MAD)0
Skewness10.93071507
Sum212765
Variance3207.317551
MonotonicityNot monotonic
2025-10-30T00:20:40.115847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019188
 
10.8%
11143
 
0.6%
2578
 
0.3%
3333
 
0.2%
4179
 
0.1%
28165
 
0.1%
13148
 
0.1%
24139
 
0.1%
30129
 
0.1%
25127
 
0.1%
Other values (361)2571
 
1.5%
(Missing)152462
86.1%
ValueCountFrequency (%)
019188
10.8%
11143
 
0.6%
2578
 
0.3%
3333
 
0.2%
4179
 
0.1%
ValueCountFrequency (%)
8631
< 0.1%
8611
< 0.1%
8601
< 0.1%
8541
< 0.1%
8511
< 0.1%

V144
Real number (ℝ)

Missing  Zeros 

Distinct63
Distinct (%)0.3%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean3.767692308
Minimum0
Maximum62
Zeros18797
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.161768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.58508817
Coefficient of variation (CV)2.809435407
Kurtosis8.60674719
Mean3.767692308
Median Absolute Deviation (MAD)0
Skewness3.079735969
Sum93062
Variance112.0440916
MonotonicityNot monotonic
2025-10-30T00:20:40.208927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018797
 
10.6%
11639
 
0.9%
2619
 
0.3%
11319
 
0.2%
3312
 
0.2%
4184
 
0.1%
15149
 
0.1%
40109
 
0.1%
22106
 
0.1%
5101
 
0.1%
Other values (53)2365
 
1.3%
(Missing)152462
86.1%
ValueCountFrequency (%)
018797
10.6%
11639
 
0.9%
2619
 
0.3%
3312
 
0.2%
4184
 
0.1%
ValueCountFrequency (%)
623
< 0.1%
615
< 0.1%
605
< 0.1%
593
< 0.1%
581
 
< 0.1%

V145
Real number (ℝ)

Missing  Zeros 

Distinct238
Distinct (%)1.0%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean22.35834008
Minimum0
Maximum297
Zeros18440
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.259097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile200
Maximum297
Range297
Interquartile range (IQR)1

Descriptive statistics

Standard deviation64.66484283
Coefficient of variation (CV)2.89220231
Kurtosis7.831168705
Mean22.35834008
Median Absolute Deviation (MAD)0
Skewness2.999249047
Sum552251
Variance4181.541898
MonotonicityNot monotonic
2025-10-30T00:20:40.400505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018440
 
10.4%
11476
 
0.8%
2553
 
0.3%
3255
 
0.1%
35135
 
0.1%
4109
 
0.1%
14283
 
< 0.1%
1668
 
< 0.1%
14367
 
< 0.1%
3267
 
< 0.1%
Other values (228)3447
 
1.9%
(Missing)152462
86.1%
ValueCountFrequency (%)
018440
10.4%
11476
 
0.8%
2553
 
0.3%
3255
 
0.1%
4109
 
0.1%
ValueCountFrequency (%)
2971
 
< 0.1%
29621
< 0.1%
29513
< 0.1%
29417
< 0.1%
29314
< 0.1%

V146
Real number (ℝ)

Missing  Zeros 

Distinct16
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.1544192073
Minimum0
Maximum24
Zeros22552
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.441486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.701531853
Coefficient of variation (CV)4.543034934
Kurtosis247.5912149
Mean0.1544192073
Median Absolute Deviation (MAD)0
Skewness11.42656237
Sum3814
Variance0.4921469408
MonotonicityNot monotonic
2025-10-30T00:20:40.477539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
022552
 
12.7%
11328
 
0.7%
2454
 
0.3%
3196
 
0.1%
477
 
< 0.1%
542
 
< 0.1%
618
 
< 0.1%
1110
 
< 0.1%
77
 
< 0.1%
86
 
< 0.1%
Other values (6)9
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
022552
12.7%
11328
 
0.7%
2454
 
0.3%
3196
 
0.1%
477
 
< 0.1%
ValueCountFrequency (%)
243
< 0.1%
171
 
< 0.1%
162
< 0.1%
141
 
< 0.1%
121
 
< 0.1%

V147
Real number (ℝ)

Missing  Zeros 

Distinct21
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.169156646
Minimum0
Maximum26
Zeros22495
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.520885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.787824989
Coefficient of variation (CV)4.657369412
Kurtosis213.8871524
Mean0.169156646
Median Absolute Deviation (MAD)0
Skewness11.15796237
Sum4178
Variance0.6206682133
MonotonicityNot monotonic
2025-10-30T00:20:40.563205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
022495
 
12.7%
11322
 
0.7%
2469
 
0.3%
3207
 
0.1%
487
 
< 0.1%
543
 
< 0.1%
620
 
< 0.1%
1117
 
< 0.1%
713
 
< 0.1%
89
 
< 0.1%
Other values (11)17
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
022495
12.7%
11322
 
0.7%
2469
 
0.3%
3207
 
0.1%
487
 
< 0.1%
ValueCountFrequency (%)
261
 
< 0.1%
251
 
< 0.1%
241
 
< 0.1%
171
 
< 0.1%
164
< 0.1%

V148
Real number (ℝ)

Missing  Zeros 

Distinct16
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7665087655
Minimum0
Maximum20
Zeros6597
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.597591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6023967587
Coefficient of variation (CV)0.7858967643
Kurtosis190.9188401
Mean0.7665087655
Median Absolute Deviation (MAD)0
Skewness7.289292382
Sum18932
Variance0.3628818548
MonotonicityNot monotonic
2025-10-30T00:20:40.634370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
117653
 
10.0%
06597
 
3.7%
2299
 
0.2%
380
 
< 0.1%
433
 
< 0.1%
515
 
< 0.1%
65
 
< 0.1%
74
 
< 0.1%
203
 
< 0.1%
82
 
< 0.1%
Other values (6)8
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06597
 
3.7%
117653
10.0%
2299
 
0.2%
380
 
< 0.1%
433
 
< 0.1%
ValueCountFrequency (%)
203
< 0.1%
161
 
< 0.1%
151
 
< 0.1%
142
< 0.1%
121
 
< 0.1%

V149
Real number (ℝ)

Missing  Zeros 

Distinct16
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.777764282
Minimum0
Maximum20
Zeros6589
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.671748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6473860978
Coefficient of variation (CV)0.8323679973
Kurtosis160.8987121
Mean0.777764282
Median Absolute Deviation (MAD)0
Skewness7.252625127
Sum19210
Variance0.4191087596
MonotonicityNot monotonic
2025-10-30T00:20:40.708834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
117559
 
9.9%
06589
 
3.7%
2350
 
0.2%
394
 
0.1%
443
 
< 0.1%
518
 
< 0.1%
618
 
< 0.1%
710
 
< 0.1%
103
 
< 0.1%
143
 
< 0.1%
Other values (6)12
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06589
 
3.7%
117559
9.9%
2350
 
0.2%
394
 
0.1%
443
 
< 0.1%
ValueCountFrequency (%)
203
< 0.1%
161
 
< 0.1%
151
 
< 0.1%
143
< 0.1%
122
< 0.1%

V150
Real number (ℝ)

Missing 

Distinct1313
Distinct (%)5.3%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean280.9700405
Minimum1
Maximum3389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.752445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2819.05
Maximum3389
Range3388
Interquartile range (IQR)0

Descriptive statistics

Standard deviation833.5177925
Coefficient of variation (CV)2.966571778
Kurtosis6.330075527
Mean280.9700405
Median Absolute Deviation (MAD)0
Skewness2.820066271
Sum6939960
Variance694751.9104
MonotonicityNot monotonic
2025-10-30T00:20:40.805873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120324
 
11.5%
2802
 
0.5%
3149
 
0.1%
460
 
< 0.1%
531
 
< 0.1%
9527
 
< 0.1%
9725
 
< 0.1%
10124
 
< 0.1%
9922
 
< 0.1%
9822
 
< 0.1%
Other values (1303)3214
 
1.8%
(Missing)152462
86.1%
ValueCountFrequency (%)
120324
11.5%
2802
 
0.5%
3149
 
0.1%
460
 
< 0.1%
531
 
< 0.1%
ValueCountFrequency (%)
33891
< 0.1%
33882
< 0.1%
33871
< 0.1%
33862
< 0.1%
33852
< 0.1%

V151
Real number (ℝ)

Missing 

Distinct54
Distinct (%)0.2%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean6.527732794
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.852511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile52
Maximum57
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.32364321
Coefficient of variation (CV)2.347467902
Kurtosis4.804053038
Mean6.527732794
Median Absolute Deviation (MAD)0
Skewness2.576508181
Sum161235
Variance234.8140412
MonotonicityNot monotonic
2025-10-30T00:20:40.898137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121092
 
11.9%
52539
 
0.3%
53463
 
0.3%
54343
 
0.2%
51309
 
0.2%
2235
 
0.1%
50188
 
0.1%
55152
 
0.1%
49136
 
0.1%
1086
 
< 0.1%
Other values (44)1157
 
0.7%
(Missing)152462
86.1%
ValueCountFrequency (%)
121092
11.9%
2235
 
0.1%
353
 
< 0.1%
422
 
< 0.1%
515
 
< 0.1%
ValueCountFrequency (%)
5739
 
< 0.1%
5679
 
< 0.1%
55152
 
0.1%
54343
0.2%
53463
0.3%

V152
Real number (ℝ)

Missing 

Distinct30
Distinct (%)0.1%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean9.506153846
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:40.938457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile68
Maximum69
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.64074578
Coefficient of variation (CV)2.276498585
Kurtosis2.840571154
Mean9.506153846
Median Absolute Deviation (MAD)0
Skewness2.189067935
Sum234802
Variance468.321878
MonotonicityNot monotonic
2025-10-30T00:20:40.981507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
120460
 
11.5%
681196
 
0.7%
2791
 
0.4%
65489
 
0.3%
67391
 
0.2%
64367
 
0.2%
66140
 
0.1%
69121
 
0.1%
53106
 
0.1%
387
 
< 0.1%
Other values (20)552
 
0.3%
(Missing)152462
86.1%
ValueCountFrequency (%)
120460
11.5%
2791
 
0.4%
387
 
< 0.1%
434
 
< 0.1%
519
 
< 0.1%
ValueCountFrequency (%)
69121
 
0.1%
681196
0.7%
67391
 
0.2%
66140
 
0.1%
65489
0.3%

V153
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7542815499
Minimum0
Maximum18
Zeros6597
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.015437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5460320996
Coefficient of variation (CV)0.7239101893
Kurtosis161.4138264
Mean0.7542815499
Median Absolute Deviation (MAD)0
Skewness5.583283749
Sum18630
Variance0.2981510538
MonotonicityNot monotonic
2025-10-30T00:20:41.051758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
117809
 
10.1%
06597
 
3.7%
2195
 
0.1%
354
 
< 0.1%
424
 
< 0.1%
66
 
< 0.1%
56
 
< 0.1%
183
 
< 0.1%
72
 
< 0.1%
151
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06597
 
3.7%
117809
10.1%
2195
 
0.1%
354
 
< 0.1%
424
 
< 0.1%
ValueCountFrequency (%)
183
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
101
 
< 0.1%
72
< 0.1%

V154
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7585732216
Minimum0
Maximum18
Zeros6589
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.086373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5588448444
Coefficient of variation (CV)0.7367052099
Kurtosis149.2353672
Mean0.7585732216
Median Absolute Deviation (MAD)0
Skewness5.50996418
Sum18736
Variance0.3123075601
MonotonicityNot monotonic
2025-10-30T00:20:41.120295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
117776
 
10.0%
06589
 
3.7%
2207
 
0.1%
369
 
< 0.1%
428
 
< 0.1%
513
 
< 0.1%
68
 
< 0.1%
73
 
< 0.1%
183
 
< 0.1%
151
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06589
 
3.7%
117776
10.0%
2207
 
0.1%
369
 
< 0.1%
428
 
< 0.1%
ValueCountFrequency (%)
183
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
101
 
< 0.1%
73
< 0.1%

V155
Real number (ℝ)

Missing  Zeros 

Distinct17
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7692619134
Minimum0
Maximum24
Zeros6597
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.155158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.626306187
Coefficient of variation (CV)0.8141650796
Kurtosis287.5599852
Mean0.7692619134
Median Absolute Deviation (MAD)0
Skewness9.335906237
Sum19000
Variance0.3922594398
MonotonicityNot monotonic
2025-10-30T00:20:41.193917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
117631
 
10.0%
06597
 
3.7%
2305
 
0.2%
385
 
< 0.1%
441
 
< 0.1%
516
 
< 0.1%
76
 
< 0.1%
65
 
< 0.1%
243
 
< 0.1%
82
 
< 0.1%
Other values (7)8
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06597
 
3.7%
117631
10.0%
2305
 
0.2%
385
 
< 0.1%
441
 
< 0.1%
ValueCountFrequency (%)
243
< 0.1%
171
 
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
131
 
< 0.1%

V156
Real number (ℝ)

Missing  Zeros 

Distinct18
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7801935301
Minimum0
Maximum24
Zeros6589
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.227792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6677826788
Coefficient of variation (CV)0.8559192727
Kurtosis237.6189704
Mean0.7801935301
Median Absolute Deviation (MAD)0
Skewness8.905446916
Sum19270
Variance0.4459337062
MonotonicityNot monotonic
2025-10-30T00:20:41.263148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
117537
 
9.9%
06589
 
3.7%
2357
 
0.2%
399
 
0.1%
451
 
< 0.1%
523
 
< 0.1%
614
 
< 0.1%
710
 
< 0.1%
84
 
< 0.1%
243
 
< 0.1%
Other values (8)12
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06589
 
3.7%
117537
9.9%
2357
 
0.2%
399
 
0.1%
451
 
< 0.1%
ValueCountFrequency (%)
243
< 0.1%
171
 
< 0.1%
151
 
< 0.1%
142
< 0.1%
131
 
< 0.1%

V157
Real number (ℝ)

Missing  Zeros 

Distinct17
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.8185756508
Minimum0
Maximum24
Zeros6597
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.296655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7019643635
Coefficient of variation (CV)0.8575436647
Kurtosis185.7685016
Mean0.8185756508
Median Absolute Deviation (MAD)0
Skewness7.244271804
Sum20218
Variance0.4927539676
MonotonicityNot monotonic
2025-10-30T00:20:41.331782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
116658
 
9.4%
06597
 
3.7%
21111
 
0.6%
3199
 
0.1%
479
 
< 0.1%
524
 
< 0.1%
612
 
< 0.1%
76
 
< 0.1%
243
 
< 0.1%
152
 
< 0.1%
Other values (7)8
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06597
 
3.7%
116658
9.4%
21111
 
0.6%
3199
 
0.1%
479
 
< 0.1%
ValueCountFrequency (%)
243
< 0.1%
171
 
< 0.1%
152
< 0.1%
141
 
< 0.1%
121
 
< 0.1%

V158
Real number (ℝ)

Missing  Zeros 

Distinct17
Distinct (%)0.1%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.8356208753
Minimum0
Maximum24
Zeros6589
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.366727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7531245346
Coefficient of variation (CV)0.9012753952
Kurtosis150.289045
Mean0.8356208753
Median Absolute Deviation (MAD)0
Skewness6.877927054
Sum20639
Variance0.5671965647
MonotonicityNot monotonic
2025-10-30T00:20:41.405956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
116496
 
9.3%
06589
 
3.7%
21192
 
0.7%
3232
 
0.1%
496
 
0.1%
538
 
< 0.1%
624
 
< 0.1%
711
 
< 0.1%
86
 
< 0.1%
243
 
< 0.1%
Other values (7)12
 
< 0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
06589
 
3.7%
116496
9.3%
21192
 
0.7%
3232
 
0.1%
496
 
0.1%
ValueCountFrequency (%)
243
< 0.1%
171
 
< 0.1%
152
< 0.1%
142
< 0.1%
122
< 0.1%

V159
Real number (ℝ)

Missing  Zeros 

Distinct2721
Distinct (%)11.0%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2750.657857
Minimum0
Maximum44061.92969
Zeros20594
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.447576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25782.96094
Maximum44061.92969
Range44061.92969
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8380.877109
Coefficient of variation (CV)3.046862803
Kurtosis7.828769049
Mean2750.657857
Median Absolute Deviation (MAD)0
Skewness3.005638203
Sum67941249.08
Variance70239101.11
MonotonicityNot monotonic
2025-10-30T00:20:41.494405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020594
 
11.6%
100116
 
0.1%
5083
 
< 0.1%
10663
 
< 0.1%
26556
 
< 0.1%
2552
 
< 0.1%
2049
 
< 0.1%
18146
 
< 0.1%
1038
 
< 0.1%
3027
 
< 0.1%
Other values (2711)3576
 
2.0%
(Missing)152462
86.1%
ValueCountFrequency (%)
020594
11.6%
516
 
< 0.1%
61
 
< 0.1%
85
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
44061.929691
< 0.1%
43911.929691
< 0.1%
43891.929691
< 0.1%
43861.929691
< 0.1%
43811.929691
< 0.1%

V160
Real number (ℝ)

Missing  Zeros 

Distinct3402
Distinct (%)13.8%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean48112.1536
Minimum0
Maximum641271.4375
Zeros19089
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.540429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile462126.75
Maximum641271.4375
Range641271.4375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation143006.4598
Coefficient of variation (CV)2.972356236
Kurtosis7.540050464
Mean48112.1536
Median Absolute Deviation (MAD)0
Skewness2.969439589
Sum1188370194
Variance2.045084754 × 1010
MonotonicityNot monotonic
2025-10-30T00:20:41.590271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019089
 
10.8%
2401275
 
0.2%
50180
 
0.1%
100130
 
0.1%
1359110
 
0.1%
15091
 
0.1%
2576
 
< 0.1%
2064
 
< 0.1%
20059
 
< 0.1%
3052
 
< 0.1%
Other values (3392)4574
 
2.6%
(Missing)152462
86.1%
ValueCountFrequency (%)
019089
10.8%
514
 
< 0.1%
63
 
< 0.1%
72
 
< 0.1%
7.51
 
< 0.1%
ValueCountFrequency (%)
641271.43751
< 0.1%
641246.43751
< 0.1%
641216.43752
< 0.1%
641191.43751
< 0.1%
641116.43751
< 0.1%

V161
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct60
Distinct (%)0.2%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean4.899236811
Minimum0
Maximum3300
Zeros23854
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.646221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64.3194811
Coefficient of variation (CV)13.12846951
Kurtosis1502.382819
Mean4.899236811
Median Absolute Deviation (MAD)0
Skewness34.5589774
Sum121006.25
Variance4136.995649
MonotonicityNot monotonic
2025-10-30T00:20:41.695538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023854
 
13.5%
50155
 
0.1%
100112
 
0.1%
2576
 
< 0.1%
15054
 
< 0.1%
2052
 
< 0.1%
4042
 
< 0.1%
20035
 
< 0.1%
3031
 
< 0.1%
7531
 
< 0.1%
Other values (50)257
 
0.1%
(Missing)152463
86.1%
ValueCountFrequency (%)
023854
13.5%
59
 
< 0.1%
73
 
< 0.1%
7.51
 
< 0.1%
8.751
 
< 0.1%
ValueCountFrequency (%)
33001
 
< 0.1%
30006
< 0.1%
20001
 
< 0.1%
12003
 
< 0.1%
100011
< 0.1%

V162
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct119
Distinct (%)0.5%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean6.581572128
Minimum0
Maximum3300
Zeros23793
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.743262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.75802129
Coefficient of variation (CV)10.90286939
Kurtosis997.1415993
Mean6.581572128
Median Absolute Deviation (MAD)0
Skewness27.099111
Sum162558.25
Variance5149.213619
MonotonicityNot monotonic
2025-10-30T00:20:41.791734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023793
 
13.4%
50142
 
0.1%
100106
 
0.1%
15065
 
< 0.1%
2558
 
< 0.1%
20041
 
< 0.1%
2035
 
< 0.1%
3035
 
< 0.1%
7528
 
< 0.1%
30026
 
< 0.1%
Other values (109)370
 
0.2%
(Missing)152463
86.1%
ValueCountFrequency (%)
023793
13.4%
59
 
< 0.1%
72
 
< 0.1%
7.51
 
< 0.1%
8.751
 
< 0.1%
ValueCountFrequency (%)
33001
 
< 0.1%
30006
< 0.1%
20001
 
< 0.1%
13002
 
< 0.1%
12003
< 0.1%

V163
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct72
Distinct (%)0.3%
Missing152463
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean5.48444269
Minimum0
Maximum3300
Zeros23833
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.842993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.9359731
Coefficient of variation (CV)12.02236523
Kurtosis1362.452417
Mean5.48444269
Median Absolute Deviation (MAD)0
Skewness32.41265643
Sum135460.25
Variance4347.552548
MonotonicityNot monotonic
2025-10-30T00:20:41.890823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023833
 
13.5%
50158
 
0.1%
100104
 
0.1%
15061
 
< 0.1%
2561
 
< 0.1%
2045
 
< 0.1%
20040
 
< 0.1%
3030
 
< 0.1%
7526
 
< 0.1%
30024
 
< 0.1%
Other values (62)317
 
0.2%
(Missing)152463
86.1%
ValueCountFrequency (%)
023833
13.5%
59
 
< 0.1%
73
 
< 0.1%
7.51
 
< 0.1%
8.751
 
< 0.1%
ValueCountFrequency (%)
33001
 
< 0.1%
30006
< 0.1%
20001
 
< 0.1%
12003
 
< 0.1%
100012
< 0.1%

V164
Real number (ℝ)

Missing  Zeros 

Distinct939
Distinct (%)3.8%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean901.7252463
Minimum0
Maximum93100
Zeros19188
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:41.938582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2415
Maximum93100
Range93100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6189.347929
Coefficient of variation (CV)6.863895577
Kurtosis129.2688976
Mean901.7252463
Median Absolute Deviation (MAD)0
Skewness10.95426735
Sum22272613.58
Variance38308027.79
MonotonicityNot monotonic
2025-10-30T00:20:41.985057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019188
 
10.8%
100301
 
0.2%
200252
 
0.1%
150228
 
0.1%
300201
 
0.1%
50169
 
0.1%
40090
 
0.1%
60086
 
< 0.1%
45077
 
< 0.1%
7575
 
< 0.1%
Other values (929)4033
 
2.3%
(Missing)152462
86.1%
ValueCountFrequency (%)
019188
10.8%
56
 
< 0.1%
106
 
< 0.1%
122
 
< 0.1%
1511
 
< 0.1%
ValueCountFrequency (%)
931001
< 0.1%
928881
< 0.1%
927821
< 0.1%
921461
< 0.1%
918281
< 0.1%

V165
Real number (ℝ)

Missing  Zeros 

Distinct1273
Distinct (%)5.2%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2283.563247
Minimum0
Maximum98364
Zeros18799
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.035918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14604.9502
Maximum98364
Range98364
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8370.497287
Coefficient of variation (CV)3.665542129
Kurtosis58.91326668
Mean2283.563247
Median Absolute Deviation (MAD)0
Skewness6.846037061
Sum56404012.2
Variance70065224.83
MonotonicityNot monotonic
2025-10-30T00:20:42.084153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018799
 
10.6%
100286
 
0.2%
150223
 
0.1%
200218
 
0.1%
300195
 
0.1%
50154
 
0.1%
40088
 
< 0.1%
60083
 
< 0.1%
7567
 
< 0.1%
50061
 
< 0.1%
Other values (1263)4526
 
2.6%
(Missing)152462
86.1%
ValueCountFrequency (%)
018799
10.6%
56
 
< 0.1%
81
 
< 0.1%
106
 
< 0.1%
122
 
< 0.1%
ValueCountFrequency (%)
983641
< 0.1%
982521
< 0.1%
977481
< 0.1%
976361
< 0.1%
975801
< 0.1%

V166
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct759
Distinct (%)3.1%
Missing152462
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean373.6728053
Minimum0
Maximum104060
Zeros18797
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.135656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2816.98999
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1503.76644
Coefficient of variation (CV)4.024286537
Kurtosis1995.459702
Mean373.6728053
Median Absolute Deviation (MAD)0
Skewness33.66665543
Sum9229718.291
Variance2261313.505
MonotonicityNot monotonic
2025-10-30T00:20:42.185739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018797
 
10.6%
100444
 
0.3%
200295
 
0.2%
1165260
 
0.1%
300220
 
0.1%
150207
 
0.1%
50196
 
0.1%
500119
 
0.1%
400117
 
0.1%
250108
 
0.1%
Other values (749)3937
 
2.2%
(Missing)152462
86.1%
ValueCountFrequency (%)
018797
10.6%
57
 
< 0.1%
65
 
< 0.1%
81
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
512001
< 0.1%

V167
Real number (ℝ)

Missing  Zeros 

Distinct376
Distinct (%)0.9%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean4.050406931
Minimum0
Maximum866
Zeros31781
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.232344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum866
Range866
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.18427554
Coefficient of variation (CV)10.66171283
Kurtosis236.1556049
Mean4.050406931
Median Absolute Deviation (MAD)0
Skewness14.81784294
Sum169708
Variance1864.881654
MonotonicityNot monotonic
2025-10-30T00:20:42.283163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
031781
 
17.9%
14685
 
2.6%
22060
 
1.2%
31098
 
0.6%
4653
 
0.4%
5322
 
0.2%
6222
 
0.1%
7142
 
0.1%
8102
 
0.1%
976
 
< 0.1%
Other values (366)758
 
0.4%
(Missing)135263
76.3%
ValueCountFrequency (%)
031781
17.9%
14685
 
2.6%
22060
 
1.2%
31098
 
0.6%
4653
 
0.4%
ValueCountFrequency (%)
8661
< 0.1%
8641
< 0.1%
8631
< 0.1%
8571
< 0.1%
8541
< 0.1%

V168
Real number (ℝ)

Missing  Zeros 

Distinct461
Distinct (%)1.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean6.046922361
Minimum0
Maximum962
Zeros30440
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.332119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum962
Range962
Interquartile range (IQR)1

Descriptive statistics

Standard deviation55.40075265
Coefficient of variation (CV)9.161809818
Kurtosis167.5644148
Mean6.046922361
Median Absolute Deviation (MAD)0
Skewness12.43182046
Sum253360
Variance3069.243395
MonotonicityNot monotonic
2025-10-30T00:20:42.384798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030440
 
17.2%
14947
 
2.8%
22265
 
1.3%
31254
 
0.7%
4742
 
0.4%
5422
 
0.2%
6300
 
0.2%
7195
 
0.1%
8125
 
0.1%
9102
 
0.1%
Other values (451)1107
 
0.6%
(Missing)135263
76.3%
ValueCountFrequency (%)
030440
17.2%
14947
 
2.8%
22265
 
1.3%
31254
 
0.7%
4742
 
0.4%
ValueCountFrequency (%)
9621
< 0.1%
9601
< 0.1%
9511
< 0.1%
9491
< 0.1%
9481
< 0.1%

V169
Real number (ℝ)

Missing  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1662733882
Minimum0
Maximum18
Zeros39284
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.424517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8879127845
Coefficient of variation (CV)5.340077534
Kurtosis102.4776788
Mean0.1662733882
Median Absolute Deviation (MAD)0
Skewness8.747020359
Sum6976
Variance0.7883891129
MonotonicityNot monotonic
2025-10-30T00:20:42.464244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
039284
 
22.2%
11216
 
0.7%
2527
 
0.3%
3331
 
0.2%
4209
 
0.1%
6107
 
0.1%
5105
 
0.1%
752
 
< 0.1%
834
 
< 0.1%
922
 
< 0.1%
Other values (8)68
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
039284
22.2%
11216
 
0.7%
2527
 
0.3%
3331
 
0.2%
4209
 
0.1%
ValueCountFrequency (%)
185
 
< 0.1%
162
 
< 0.1%
158
< 0.1%
147
< 0.1%
1315
< 0.1%

V170
Real number (ℝ)

Missing  Zeros 

Distinct45
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.444476225
Minimum0
Maximum47
Zeros2852
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.506214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.809551597
Coefficient of variation (CV)1.252738928
Kurtosis153.1316195
Mean1.444476225
Median Absolute Deviation (MAD)0
Skewness9.659257627
Sum60603
Variance3.274476983
MonotonicityNot monotonic
2025-10-30T00:20:42.551857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
130428
 
17.2%
24300
 
2.4%
02852
 
1.6%
31906
 
1.1%
4980
 
0.6%
5583
 
0.3%
6257
 
0.1%
7191
 
0.1%
8124
 
0.1%
970
 
< 0.1%
Other values (35)264
 
0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02852
 
1.6%
130428
17.2%
24300
 
2.4%
31906
 
1.1%
4980
 
0.6%
ValueCountFrequency (%)
471
< 0.1%
441
< 0.1%
431
< 0.1%
421
< 0.1%
411
< 0.1%

V171
Real number (ℝ)

Missing  Zeros 

Distinct52
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.706375879
Minimum0
Maximum61
Zeros2810
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.597103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile5
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.505501619
Coefficient of variation (CV)1.468317532
Kurtosis81.1924907
Mean1.706375879
Median Absolute Deviation (MAD)0
Skewness7.030957349
Sum71591
Variance6.277538362
MonotonicityNot monotonic
2025-10-30T00:20:42.648009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128995
 
16.4%
24536
 
2.6%
02810
 
1.6%
32084
 
1.2%
41133
 
0.6%
5655
 
0.4%
14440
 
0.2%
6380
 
0.2%
7224
 
0.1%
8175
 
0.1%
Other values (42)523
 
0.3%
(Missing)135207
76.3%
ValueCountFrequency (%)
02810
 
1.6%
128995
16.4%
24536
 
2.6%
32084
 
1.2%
41133
 
0.6%
ValueCountFrequency (%)
611
< 0.1%
561
< 0.1%
551
< 0.1%
521
< 0.1%
501
< 0.1%

V172
Real number (ℝ)

Missing  Zeros 

Distinct30
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1307429772
Minimum0
Maximum30
Zeros38675
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.696027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9059526226
Coefficient of variation (CV)6.929264136
Kurtosis480.4182051
Mean0.1307429772
Median Absolute Deviation (MAD)0
Skewness19.47991015
Sum5478
Variance0.8207501544
MonotonicityNot monotonic
2025-10-30T00:20:42.734584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
038675
 
21.8%
12561
 
1.4%
2425
 
0.2%
390
 
0.1%
420
 
< 0.1%
513
 
< 0.1%
613
 
< 0.1%
711
 
< 0.1%
88
 
< 0.1%
107
 
< 0.1%
Other values (20)76
 
< 0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
038675
21.8%
12561
 
1.4%
2425
 
0.2%
390
 
0.1%
420
 
< 0.1%
ValueCountFrequency (%)
302
< 0.1%
292
< 0.1%
283
< 0.1%
273
< 0.1%
262
< 0.1%

V173
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.05637366047
Minimum0
Maximum6
Zeros39869
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.766191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2716076489
Coefficient of variation (CV)4.817988518
Kurtosis55.7024324
Mean0.05637366047
Median Absolute Deviation (MAD)0
Skewness6.241851141
Sum2362
Variance0.07377071493
MonotonicityNot monotonic
2025-10-30T00:20:42.794826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
039869
 
22.5%
11772
 
1.0%
2199
 
0.1%
351
 
< 0.1%
44
 
< 0.1%
63
 
< 0.1%
51
 
< 0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
039869
22.5%
11772
 
1.0%
2199
 
0.1%
351
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
63
 
< 0.1%
51
 
< 0.1%
44
 
< 0.1%
351
 
< 0.1%
2199
0.1%

V174
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1293528781
Minimum0
Maximum8
Zeros37163
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.824009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3869258778
Coefficient of variation (CV)2.991242897
Kurtosis19.33654196
Mean0.1293528781
Median Absolute Deviation (MAD)0
Skewness3.619833497
Sum5427
Variance0.1497116349
MonotonicityNot monotonic
2025-10-30T00:20:42.858656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037163
 
21.0%
14264
 
2.4%
2442
 
0.2%
373
 
< 0.1%
49
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
81
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
037163
21.0%
14264
 
2.4%
2442
 
0.2%
373
 
< 0.1%
49
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
61
 
< 0.1%
52
 
< 0.1%
49
 
< 0.1%
373
< 0.1%

V175
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.2165176975
Minimum0
Maximum13
Zeros37071
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.897346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8695364603
Coefficient of variation (CV)4.016006406
Kurtosis45.77231715
Mean0.2165176975
Median Absolute Deviation (MAD)0
Skewness6.339912709
Sum9084
Variance0.7560936558
MonotonicityNot monotonic
2025-10-30T00:20:42.930594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
037071
 
20.9%
13551
 
2.0%
2576
 
0.3%
7422
 
0.2%
3164
 
0.1%
475
 
< 0.1%
534
 
< 0.1%
627
 
< 0.1%
818
 
< 0.1%
915
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
037071
20.9%
13551
 
2.0%
2576
 
0.3%
3164
 
0.1%
475
 
< 0.1%
ValueCountFrequency (%)
131
 
< 0.1%
111
 
< 0.1%
915
 
< 0.1%
818
 
< 0.1%
7422
0.2%

V176
Real number (ℝ)

Missing 

Distinct47
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.380916012
Minimum0
Maximum47
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:42.973063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.844681358
Coefficient of variation (CV)1.335838922
Kurtosis195.214954
Mean1.380916012
Median Absolute Deviation (MAD)0
Skewness12.00944752
Sum57859
Variance3.402849311
MonotonicityNot monotonic
2025-10-30T00:20:43.021516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
136030
 
20.3%
23225
 
1.8%
31061
 
0.6%
4535
 
0.3%
5318
 
0.2%
6184
 
0.1%
7127
 
0.1%
880
 
< 0.1%
954
 
< 0.1%
1038
 
< 0.1%
Other values (37)247
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
136030
20.3%
23225
 
1.8%
31061
 
0.6%
4535
 
0.3%
ValueCountFrequency (%)
472
< 0.1%
461
< 0.1%
451
< 0.1%
441
< 0.1%
431
< 0.1%

V177
Real number (ℝ)

Missing  Zeros 

Distinct353
Distinct (%)0.8%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean3.650206449
Minimum0
Maximum855
Zeros36196
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.069032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum855
Range855
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.286191
Coefficient of variation (CV)11.58460257
Kurtosis241.7797587
Mean3.650206449
Median Absolute Deviation (MAD)0
Skewness15.01393983
Sum152940
Variance1788.121949
MonotonicityNot monotonic
2025-10-30T00:20:43.203838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036196
 
20.4%
12316
 
1.3%
21222
 
0.7%
3674
 
0.4%
4364
 
0.2%
5207
 
0.1%
6128
 
0.1%
796
 
0.1%
865
 
< 0.1%
948
 
< 0.1%
Other values (343)583
 
0.3%
(Missing)135263
76.3%
ValueCountFrequency (%)
036196
20.4%
12316
 
1.3%
21222
 
0.7%
3674
 
0.4%
4364
 
0.2%
ValueCountFrequency (%)
8551
< 0.1%
8531
< 0.1%
8521
< 0.1%
8461
< 0.1%
8431
< 0.1%

V178
Real number (ℝ)

Missing  Zeros 

Distinct453
Distinct (%)1.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean6.847705196
Minimum0
Maximum1235
Zeros35540
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.249920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum1235
Range1235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.01851257
Coefficient of variation (CV)10.37114048
Kurtosis186.1747238
Mean6.847705196
Median Absolute Deviation (MAD)0
Skewness13.22575704
Sum286912
Variance5043.629128
MonotonicityNot monotonic
2025-10-30T00:20:43.298072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035540
 
20.1%
12261
 
1.3%
21248
 
0.7%
3723
 
0.4%
4406
 
0.2%
5253
 
0.1%
6169
 
0.1%
7112
 
0.1%
893
 
0.1%
967
 
< 0.1%
Other values (443)1027
 
0.6%
(Missing)135263
76.3%
ValueCountFrequency (%)
035540
20.1%
12261
 
1.3%
21248
 
0.7%
3723
 
0.4%
4406
 
0.2%
ValueCountFrequency (%)
12358
< 0.1%
12311
 
< 0.1%
12291
 
< 0.1%
12201
 
< 0.1%
12181
 
< 0.1%

V179
Real number (ℝ)

Missing  Zeros 

Distinct389
Distinct (%)0.9%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean5.049571589
Minimum0
Maximum918
Zeros35801
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.345884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum918
Range918
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.86225547
Coefficient of variation (CV)10.27062486
Kurtosis180.8023209
Mean5.049571589
Median Absolute Deviation (MAD)0
Skewness12.96420991
Sum211572
Variance2689.693542
MonotonicityNot monotonic
2025-10-30T00:20:43.395529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035801
 
20.2%
12262
 
1.3%
21231
 
0.7%
3706
 
0.4%
4407
 
0.2%
5228
 
0.1%
6158
 
0.1%
7107
 
0.1%
885
 
< 0.1%
953
 
< 0.1%
Other values (379)861
 
0.5%
(Missing)135263
76.3%
ValueCountFrequency (%)
035801
20.2%
12262
 
1.3%
21231
 
0.7%
3706
 
0.4%
4407
 
0.2%
ValueCountFrequency (%)
9181
< 0.1%
9161
< 0.1%
9071
< 0.1%
9051
< 0.1%
9041
< 0.1%

V180
Real number (ℝ)

Missing  Zeros 

Distinct75
Distinct (%)0.2%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9396734597
Minimum0
Maximum80
Zeros36927
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.443644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.167777677
Coefficient of variation (CV)6.563745749
Kurtosis76.77689143
Mean0.9396734597
Median Absolute Deviation (MAD)0
Skewness8.572616613
Sum39424
Variance38.04148147
MonotonicityNot monotonic
2025-10-30T00:20:43.493240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036927
 
20.8%
12788
 
1.6%
2848
 
0.5%
3305
 
0.2%
61259
 
0.1%
4133
 
0.1%
3482
 
< 0.1%
577
 
< 0.1%
654
 
< 0.1%
3034
 
< 0.1%
Other values (65)448
 
0.3%
(Missing)135207
76.3%
ValueCountFrequency (%)
036927
20.8%
12788
 
1.6%
2848
 
0.5%
3305
 
0.2%
4133
 
0.1%
ValueCountFrequency (%)
801
 
< 0.1%
791
 
< 0.1%
783
< 0.1%
751
 
< 0.1%
741
 
< 0.1%

V181
Real number (ℝ)

Missing  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.2544452135
Minimum0
Maximum19
Zeros37674
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.532059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.261127469
Coefficient of variation (CV)4.956381186
Kurtosis72.17841931
Mean0.2544452135
Median Absolute Deviation (MAD)0
Skewness8.015796386
Sum10661
Variance1.590442493
MonotonicityNot monotonic
2025-10-30T00:20:43.566603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
037674
 
21.3%
12575
 
1.5%
2755
 
0.4%
11292
 
0.2%
3275
 
0.2%
4118
 
0.1%
1563
 
< 0.1%
546
 
< 0.1%
628
 
< 0.1%
1220
 
< 0.1%
Other values (8)53
 
< 0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
037674
21.3%
12575
 
1.5%
2755
 
0.4%
3275
 
0.2%
4118
 
0.1%
ValueCountFrequency (%)
191
 
< 0.1%
161
 
< 0.1%
1563
< 0.1%
146
 
< 0.1%
132
 
< 0.1%

V182
Real number (ℝ)

Missing  Zeros 

Distinct65
Distinct (%)0.2%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.8725029237
Minimum0
Maximum80
Zeros36992
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.613857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.856749597
Coefficient of variation (CV)6.712584494
Kurtosis85.47057847
Mean0.8725029237
Median Absolute Deviation (MAD)0
Skewness9.008903326
Sum36557
Variance34.30151584
MonotonicityNot monotonic
2025-10-30T00:20:43.664537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036992
 
20.9%
12716
 
1.5%
2827
 
0.5%
3308
 
0.2%
61256
 
0.1%
4139
 
0.1%
571
 
< 0.1%
3466
 
< 0.1%
649
 
< 0.1%
1126
 
< 0.1%
Other values (55)449
 
0.3%
(Missing)135263
76.3%
ValueCountFrequency (%)
036992
20.9%
12716
 
1.5%
2827
 
0.5%
3308
 
0.2%
4139
 
0.1%
ValueCountFrequency (%)
801
 
< 0.1%
791
 
< 0.1%
783
< 0.1%
751
 
< 0.1%
741
 
< 0.1%

V183
Real number (ℝ)

Missing  Zeros 

Distinct42
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.4970285687
Minimum0
Maximum41
Zeros37254
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.711331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.003825826
Coefficient of variation (CV)6.043567745
Kurtosis79.04609193
Mean0.4970285687
Median Absolute Deviation (MAD)0
Skewness8.68894261
Sum20825
Variance9.022969594
MonotonicityNot monotonic
2025-10-30T00:20:43.756436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
037254
 
21.0%
12647
 
1.5%
2783
 
0.4%
3308
 
0.2%
27200
 
0.1%
4142
 
0.1%
30114
 
0.1%
575
 
< 0.1%
642
 
< 0.1%
734
 
< 0.1%
Other values (32)300
 
0.2%
(Missing)135263
76.3%
ValueCountFrequency (%)
037254
21.0%
12647
 
1.5%
2783
 
0.4%
3308
 
0.2%
4142
 
0.1%
ValueCountFrequency (%)
411
 
< 0.1%
401
 
< 0.1%
391
 
< 0.1%
381
 
< 0.1%
376
< 0.1%

V184
Real number (ℝ)

Missing  Zeros 

Distinct14
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1289715171
Minimum0
Maximum16
Zeros38393
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.792608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5298258481
Coefficient of variation (CV)4.108084172
Kurtosis101.9879219
Mean0.1289715171
Median Absolute Deviation (MAD)0
Skewness7.56919616
Sum5411
Variance0.2807154293
MonotonicityNot monotonic
2025-10-30T00:20:43.829948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
038393
 
21.7%
12475
 
1.4%
2681
 
0.4%
3247
 
0.1%
485
 
< 0.1%
535
 
< 0.1%
612
 
< 0.1%
811
 
< 0.1%
116
 
< 0.1%
76
 
< 0.1%
Other values (4)4
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
038393
21.7%
12475
 
1.4%
2681
 
0.4%
3247
 
0.1%
485
 
< 0.1%
ValueCountFrequency (%)
161
 
< 0.1%
151
 
< 0.1%
116
< 0.1%
101
 
< 0.1%
91
 
< 0.1%

V185
Real number (ℝ)

Missing  Zeros 

Distinct22
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1721844834
Minimum0
Maximum31
Zeros37840
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.864016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7075977341
Coefficient of variation (CV)4.109532522
Kurtosis308.9390083
Mean0.1721844834
Median Absolute Deviation (MAD)0
Skewness11.52182377
Sum7224
Variance0.5006945534
MonotonicityNot monotonic
2025-10-30T00:20:43.899373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
037840
 
21.4%
12514
 
1.4%
2710
 
0.4%
3680
 
0.4%
4110
 
0.1%
537
 
< 0.1%
623
 
< 0.1%
77
 
< 0.1%
117
 
< 0.1%
96
 
< 0.1%
Other values (12)21
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
037840
21.4%
12514
 
1.4%
2710
 
0.4%
3680
 
0.4%
4110
 
0.1%
ValueCountFrequency (%)
311
< 0.1%
301
< 0.1%
291
< 0.1%
211
< 0.1%
171
< 0.1%

V186
Real number (ℝ)

Missing 

Distinct36
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.148619299
Minimum0
Maximum37
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:43.937581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.204966369
Coefficient of variation (CV)1.04905635
Kurtosis325.502819
Mean1.148619299
Median Absolute Deviation (MAD)0
Skewness16.25602386
Sum48126
Variance1.45194395
MonotonicityNot monotonic
2025-10-30T00:20:43.980586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
139634
 
22.4%
21438
 
0.8%
3305
 
0.2%
4134
 
0.1%
588
 
< 0.1%
662
 
< 0.1%
743
 
< 0.1%
834
 
< 0.1%
923
 
< 0.1%
1016
 
< 0.1%
Other values (26)122
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
139634
22.4%
21438
 
0.8%
3305
 
0.2%
4134
 
0.1%
ValueCountFrequency (%)
371
 
< 0.1%
352
< 0.1%
332
< 0.1%
321
 
< 0.1%
314
< 0.1%

V187
Real number (ℝ)

Missing 

Distinct162
Distinct (%)0.4%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.857633834
Minimum1
Maximum217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.033832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum217
Range216
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.977646726
Coefficient of variation (CV)5.371159022
Kurtosis260.215486
Mean1.857633834
Median Absolute Deviation (MAD)0
Skewness15.5075378
Sum77833
Variance99.55343419
MonotonicityNot monotonic
2025-10-30T00:20:44.081876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138990
 
22.0%
21781
 
1.0%
3358
 
0.2%
4145
 
0.1%
585
 
< 0.1%
657
 
< 0.1%
745
 
< 0.1%
831
 
< 0.1%
1223
 
< 0.1%
919
 
< 0.1%
Other values (152)365
 
0.2%
(Missing)135263
76.3%
ValueCountFrequency (%)
138990
22.0%
21781
 
1.0%
3358
 
0.2%
4145
 
0.1%
585
 
< 0.1%
ValueCountFrequency (%)
2171
 
< 0.1%
2162
 
< 0.1%
2153
< 0.1%
2145
< 0.1%
2111
 
< 0.1%

V188
Real number (ℝ)

Missing  Zeros 

Distinct25
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.017065904
Minimum0
Maximum30
Zeros2852
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.121266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6948790959
Coefficient of variation (CV)0.6832193403
Kurtosis405.8589739
Mean1.017065904
Median Absolute Deviation (MAD)0
Skewness14.83348146
Sum42671
Variance0.4828569579
MonotonicityNot monotonic
2025-10-30T00:20:44.159790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
137215
 
21.0%
02852
 
1.6%
21331
 
0.8%
3250
 
0.1%
4106
 
0.1%
655
 
< 0.1%
553
 
< 0.1%
732
 
< 0.1%
1114
 
< 0.1%
1010
 
< 0.1%
Other values (15)37
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02852
 
1.6%
137215
21.0%
21331
 
0.8%
3250
 
0.1%
4106
 
0.1%
ValueCountFrequency (%)
302
< 0.1%
261
< 0.1%
252
< 0.1%
231
< 0.1%
221
< 0.1%

V189
Real number (ℝ)

Missing  Zeros 

Distinct26
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.042259564
Minimum0
Maximum30
Zeros2810
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.197834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8202935936
Coefficient of variation (CV)0.7870338849
Kurtosis267.2105633
Mean1.042259564
Median Absolute Deviation (MAD)0
Skewness12.83740086
Sum43728
Variance0.6728815797
MonotonicityNot monotonic
2025-10-30T00:20:44.239893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
136975
 
20.9%
02810
 
1.6%
21451
 
0.8%
3318
 
0.2%
4120
 
0.1%
573
 
< 0.1%
643
 
< 0.1%
741
 
< 0.1%
829
 
< 0.1%
1318
 
< 0.1%
Other values (16)77
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02810
 
1.6%
136975
20.9%
21451
 
0.8%
3318
 
0.2%
4120
 
0.1%
ValueCountFrequency (%)
302
< 0.1%
261
< 0.1%
252
< 0.1%
231
< 0.1%
221
< 0.1%

V190
Real number (ℝ)

Missing 

Distinct39
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.215184133
Minimum0
Maximum41
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.280107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.497224028
Coefficient of variation (CV)1.232096426
Kurtosis257.7972759
Mean1.215184133
Median Absolute Deviation (MAD)0
Skewness14.45571985
Sum50915
Variance2.24167979
MonotonicityNot monotonic
2025-10-30T00:20:44.322238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
138630
 
21.8%
22079
 
1.2%
3453
 
0.3%
4207
 
0.1%
5119
 
0.1%
691
 
0.1%
751
 
< 0.1%
837
 
< 0.1%
928
 
< 0.1%
1024
 
< 0.1%
Other values (29)180
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
138630
21.8%
22079
 
1.2%
3453
 
0.3%
4207
 
0.1%
ValueCountFrequency (%)
411
 
< 0.1%
391
 
< 0.1%
374
< 0.1%
364
< 0.1%
351
 
< 0.1%

V191
Real number (ℝ)

Missing 

Distinct21
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.058306881
Minimum0
Maximum21
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.359912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6624146521
Coefficient of variation (CV)0.6259192528
Kurtosis380.5358276
Mean1.058306881
Median Absolute Deviation (MAD)0
Skewness17.88862596
Sum44342
Variance0.4387931713
MonotonicityNot monotonic
2025-10-30T00:20:44.393976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
141072
 
23.2%
2497
 
0.3%
392
 
0.1%
446
 
< 0.1%
536
 
< 0.1%
625
 
< 0.1%
820
 
< 0.1%
718
 
< 0.1%
1015
 
< 0.1%
912
 
< 0.1%
Other values (11)66
 
< 0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
141072
23.2%
2497
 
0.3%
392
 
0.1%
446
 
< 0.1%
ValueCountFrequency (%)
213
< 0.1%
205
< 0.1%
184
< 0.1%
177
< 0.1%
163
< 0.1%

V192
Real number (ℝ)

Missing 

Distinct42
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.239504523
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.437582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum44
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.645902735
Coefficient of variation (CV)2.134645486
Kurtosis172.2401025
Mean1.239504523
Median Absolute Deviation (MAD)0
Skewness12.92009504
Sum51934
Variance7.000801282
MonotonicityNot monotonic
2025-10-30T00:20:44.480123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
140799
 
23.0%
2635
 
0.4%
3101
 
0.1%
3837
 
< 0.1%
4032
 
< 0.1%
422
 
< 0.1%
818
 
< 0.1%
3417
 
< 0.1%
2516
 
< 0.1%
2614
 
< 0.1%
Other values (32)208
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
140799
23.0%
2635
 
0.4%
3101
 
0.1%
422
 
< 0.1%
512
 
< 0.1%
ValueCountFrequency (%)
442
 
< 0.1%
4313
< 0.1%
429
 
< 0.1%
4110
 
< 0.1%
4032
< 0.1%

V193
Real number (ℝ)

Missing 

Distinct37
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.150552519
Minimum0
Maximum36
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.520602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.699179144
Coefficient of variation (CV)1.476837533
Kurtosis223.865749
Mean1.150552519
Median Absolute Deviation (MAD)0
Skewness14.41289109
Sum48207
Variance2.887209764
MonotonicityNot monotonic
2025-10-30T00:20:44.562972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
140927
 
23.1%
2541
 
0.3%
385
 
< 0.1%
423
 
< 0.1%
1419
 
< 0.1%
718
 
< 0.1%
2817
 
< 0.1%
2917
 
< 0.1%
1216
 
< 0.1%
516
 
< 0.1%
Other values (27)220
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
140927
23.1%
2541
 
0.3%
385
 
< 0.1%
423
 
< 0.1%
ValueCountFrequency (%)
366
< 0.1%
354
< 0.1%
341
 
< 0.1%
334
< 0.1%
328
< 0.1%

V194
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9469669884
Minimum0
Maximum7
Zeros2852
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.596256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.303284901
Coefficient of variation (CV)0.3202697715
Kurtosis34.45099794
Mean0.9469669884
Median Absolute Deviation (MAD)0
Skewness0.6128414056
Sum39730
Variance0.09198173116
MonotonicityNot monotonic
2025-10-30T00:20:44.625951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
138630
 
21.8%
02852
 
1.6%
2380
 
0.2%
358
 
< 0.1%
416
 
< 0.1%
513
 
< 0.1%
65
 
< 0.1%
71
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02852
 
1.6%
138630
21.8%
2380
 
0.2%
358
 
< 0.1%
416
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
65
 
< 0.1%
513
 
< 0.1%
416
 
< 0.1%
358
< 0.1%

V195
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9558813014
Minimum0
Maximum16
Zeros2810
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.662075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3777723249
Coefficient of variation (CV)0.3952084054
Kurtosis295.640603
Mean0.9558813014
Median Absolute Deviation (MAD)0
Skewness9.526755103
Sum40104
Variance0.1427119295
MonotonicityNot monotonic
2025-10-30T00:20:44.696929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
138553
 
21.8%
02810
 
1.6%
2450
 
0.3%
381
 
< 0.1%
820
 
< 0.1%
418
 
< 0.1%
610
 
< 0.1%
56
 
< 0.1%
163
 
< 0.1%
72
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02810
 
1.6%
138553
21.8%
2450
 
0.3%
381
 
< 0.1%
418
 
< 0.1%
ValueCountFrequency (%)
163
 
< 0.1%
141
 
< 0.1%
101
 
< 0.1%
820
< 0.1%
72
 
< 0.1%

V196
Real number (ℝ)

Missing  Skewed 

Distinct36
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.08286594
Minimum0
Maximum37
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.735324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.070527066
Coefficient of variation (CV)0.9886053542
Kurtosis491.2605305
Mean1.08286594
Median Absolute Deviation (MAD)0
Skewness20.5327546
Sum45371
Variance1.146028198
MonotonicityNot monotonic
2025-10-30T00:20:44.777899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
141074
 
23.2%
2433
 
0.2%
3112
 
0.1%
454
 
< 0.1%
538
 
< 0.1%
629
 
< 0.1%
817
 
< 0.1%
916
 
< 0.1%
715
 
< 0.1%
1014
 
< 0.1%
Other values (26)97
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
141074
23.2%
2433
 
0.2%
3112
 
0.1%
454
 
< 0.1%
ValueCountFrequency (%)
371
 
< 0.1%
363
< 0.1%
351
 
< 0.1%
341
 
< 0.1%
332
< 0.1%

V197
Real number (ℝ)

Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9505184126
Minimum0
Maximum14
Zeros2852
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.811534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3358878063
Coefficient of variation (CV)0.353373277
Kurtosis151.4986045
Mean0.9505184126
Median Absolute Deviation (MAD)0
Skewness4.811824259
Sum39879
Variance0.1128206184
MonotonicityNot monotonic
2025-10-30T00:20:44.843109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
138597
 
21.8%
02852
 
1.6%
2370
 
0.2%
376
 
< 0.1%
427
 
< 0.1%
519
 
< 0.1%
75
 
< 0.1%
65
 
< 0.1%
141
 
< 0.1%
101
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02852
 
1.6%
138597
21.8%
2370
 
0.2%
376
 
< 0.1%
427
 
< 0.1%
ValueCountFrequency (%)
141
 
< 0.1%
131
 
< 0.1%
101
 
< 0.1%
91
 
< 0.1%
75
< 0.1%

V198
Real number (ℝ)

Missing  Zeros 

Distinct17
Distinct (%)< 0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9639137171
Minimum0
Maximum21
Zeros2810
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.880362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4977751274
Coefficient of variation (CV)0.5164104614
Kurtosis459.7384898
Mean0.9639137171
Median Absolute Deviation (MAD)0
Skewness16.1025141
Sum40441
Variance0.2477800774
MonotonicityNot monotonic
2025-10-30T00:20:44.912541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
138553
 
21.8%
02810
 
1.6%
2385
 
0.2%
3106
 
0.1%
433
 
< 0.1%
1416
 
< 0.1%
515
 
< 0.1%
68
 
< 0.1%
116
 
< 0.1%
85
 
< 0.1%
Other values (7)18
 
< 0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02810
 
1.6%
138553
21.8%
2385
 
0.2%
3106
 
0.1%
433
 
< 0.1%
ValueCountFrequency (%)
213
 
< 0.1%
151
 
< 0.1%
1416
< 0.1%
132
 
< 0.1%
123
 
< 0.1%

V199
Real number (ℝ)

Missing 

Distinct43
Distinct (%)0.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.275519702
Minimum0
Maximum44
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:44.951642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.693460229
Coefficient of variation (CV)1.327662933
Kurtosis227.2054555
Mean1.275519702
Median Absolute Deviation (MAD)0
Skewness13.56044651
Sum53443
Variance2.867807546
MonotonicityNot monotonic
2025-10-30T00:20:44.997977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
137523
 
21.2%
22810
 
1.6%
3648
 
0.4%
4279
 
0.2%
5151
 
0.1%
698
 
0.1%
771
 
< 0.1%
851
 
< 0.1%
935
 
< 0.1%
1027
 
< 0.1%
Other values (33)206
 
0.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
01
 
< 0.1%
137523
21.2%
22810
 
1.6%
3648
 
0.4%
4279
 
0.2%
ValueCountFrequency (%)
441
 
< 0.1%
421
 
< 0.1%
403
< 0.1%
392
< 0.1%
383
< 0.1%

V200
Real number (ℝ)

Missing  Zeros 

Distinct41
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.127231558
Minimum0
Maximum44
Zeros2852
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.043091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.349308351
Coefficient of variation (CV)1.197010802
Kurtosis381.61952
Mean1.127231558
Median Absolute Deviation (MAD)0
Skewness16.92975069
Sum47293
Variance1.820633025
MonotonicityNot monotonic
2025-10-30T00:20:45.089745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
135347
 
20.0%
02852
 
1.6%
22603
 
1.5%
3518
 
0.3%
4227
 
0.1%
5109
 
0.1%
688
 
< 0.1%
745
 
< 0.1%
927
 
< 0.1%
826
 
< 0.1%
Other values (31)113
 
0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02852
 
1.6%
135347
20.0%
22603
 
1.5%
3518
 
0.3%
4227
 
0.1%
ValueCountFrequency (%)
441
< 0.1%
401
< 0.1%
391
< 0.1%
382
< 0.1%
372
< 0.1%

V201
Real number (ℝ)

Missing  Zeros 

Distinct49
Distinct (%)0.1%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.169753307
Minimum0
Maximum55
Zeros2810
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.132208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.531455138
Coefficient of variation (CV)1.309212061
Kurtosis358.4343485
Mean1.169753307
Median Absolute Deviation (MAD)0
Skewness15.98350299
Sum49077
Variance2.34535484
MonotonicityNot monotonic
2025-10-30T00:20:45.182274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
134948
 
19.7%
22827
 
1.6%
02810
 
1.6%
3574
 
0.3%
4263
 
0.1%
5136
 
0.1%
672
 
< 0.1%
757
 
< 0.1%
951
 
< 0.1%
843
 
< 0.1%
Other values (39)174
 
0.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
02810
 
1.6%
134948
19.7%
22827
 
1.6%
3574
 
0.3%
4263
 
0.1%
ValueCountFrequency (%)
551
< 0.1%
501
< 0.1%
491
< 0.1%
481
< 0.1%
461
< 0.1%

V202
Real number (ℝ)

Missing  Zeros 

Distinct4433
Distinct (%)10.6%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean462.0891781
Minimum0
Maximum104060
Zeros31781
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.233197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile350
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4828.274125
Coefficient of variation (CV)10.4487929
Kurtosis224.3651802
Mean462.0891781
Median Absolute Deviation (MAD)0
Skewness14.42583053
Sum19361074.47
Variance23312231.03
MonotonicityNot monotonic
2025-10-30T00:20:45.286386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
031781
 
17.9%
100674
 
0.4%
200438
 
0.2%
50413
 
0.2%
150404
 
0.2%
300322
 
0.2%
400175
 
0.1%
250146
 
0.1%
25139
 
0.1%
75136
 
0.1%
Other values (4423)7271
 
4.1%
(Missing)135263
76.3%
ValueCountFrequency (%)
031781
17.9%
0.4239999951
 
< 0.1%
0.58300000431
 
< 0.1%
0.87819999462
 
< 0.1%
0.92860001331
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
934171
< 0.1%
932051
< 0.1%
930991
< 0.1%

V203
Real number (ℝ)

Missing  Zeros 

Distinct5872
Distinct (%)14.0%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1100.003832
Minimum0
Maximum139524
Zeros29431
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.332254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.33160019
95-th percentile500
Maximum139524
Range139524
Interquartile range (IQR)32.33160019

Descriptive statistics

Standard deviation9245.965924
Coefficient of variation (CV)8.405394285
Kurtosis120.439978
Mean1100.003832
Median Absolute Deviation (MAD)0
Skewness10.55465416
Sum46089060.57
Variance85487885.87
MonotonicityNot monotonic
2025-10-30T00:20:45.379916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029431
 
16.6%
100724
 
0.4%
200479
 
0.3%
50467
 
0.3%
150435
 
0.2%
300347
 
0.2%
400197
 
0.1%
75159
 
0.1%
250157
 
0.1%
25156
 
0.1%
Other values (5862)9347
 
5.3%
(Missing)135263
76.3%
ValueCountFrequency (%)
029431
16.6%
0.4239999951
 
< 0.1%
0.58300000431
 
< 0.1%
0.87819999462
 
< 0.1%
0.92860001331
 
< 0.1%
ValueCountFrequency (%)
1395241
< 0.1%
1394181
< 0.1%
1393311
< 0.1%
1393121
< 0.1%
1392211
< 0.1%

V204
Real number (ℝ)

Missing  Zeros 

Distinct5177
Distinct (%)12.4%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean709.8959776
Minimum0
Maximum104060
Zeros30440
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.429296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile415.4553131
Maximum104060
Range104060
Interquartile range (IQR)20

Descriptive statistics

Standard deviation6208.262162
Coefficient of variation (CV)8.745312493
Kurtosis148.7101907
Mean709.8959776
Median Absolute Deviation (MAD)0
Skewness11.64002917
Sum29743931.57
Variance38542519.07
MonotonicityNot monotonic
2025-10-30T00:20:45.482216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030440
 
17.2%
100702
 
0.4%
200458
 
0.3%
50454
 
0.3%
150419
 
0.2%
300332
 
0.2%
400187
 
0.1%
25161
 
0.1%
250152
 
0.1%
75151
 
0.1%
Other values (5167)8443
 
4.8%
(Missing)135263
76.3%
ValueCountFrequency (%)
030440
17.2%
0.4239999951
 
< 0.1%
0.58300000431
 
< 0.1%
0.87819999462
 
< 0.1%
0.92860001331
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1022751
< 0.1%
1021631
< 0.1%
1016591
< 0.1%
1016401
< 0.1%

V205
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1262
Distinct (%)3.0%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean17.73540554
Minimum0
Maximum12500
Zeros38675
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.529430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32.56370163
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation217.7723143
Coefficient of variation (CV)12.27895882
Kurtosis1002.877429
Mean17.73540554
Median Absolute Deviation (MAD)0
Skewness26.7893444
Sum743095.7568
Variance47424.78087
MonotonicityNot monotonic
2025-10-30T00:20:45.578602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038675
 
21.8%
100161
 
0.1%
50115
 
0.1%
15072
 
< 0.1%
10662
 
< 0.1%
26555
 
< 0.1%
2553
 
< 0.1%
2053
 
< 0.1%
20047
 
< 0.1%
18145
 
< 0.1%
Other values (1252)2561
 
1.4%
(Missing)135263
76.3%
ValueCountFrequency (%)
038675
21.8%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.7383999821
 
< 0.1%
1.8957999941
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
12307.51
< 0.1%
110001
< 0.1%
96001
< 0.1%
60251
< 0.1%

V206
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct982
Distinct (%)2.3%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean5.929725824
Minimum0
Maximum12500
Zeros39869
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.628791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.5833883
Coefficient of variation (CV)18.14306284
Kurtosis8490.61162
Mean5.929725824
Median Absolute Deviation (MAD)0
Skewness82.44049415
Sum248449.5823
Variance11574.18543
MonotonicityNot monotonic
2025-10-30T00:20:45.678758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
039869
 
22.5%
10082
 
< 0.1%
5073
 
< 0.1%
15052
 
< 0.1%
20038
 
< 0.1%
2531
 
< 0.1%
100023
 
< 0.1%
12522
 
< 0.1%
7518
 
< 0.1%
30017
 
< 0.1%
Other values (972)1674
 
0.9%
(Missing)135263
76.3%
ValueCountFrequency (%)
039869
22.5%
0.29150000211
 
< 0.1%
1.7383999821
 
< 0.1%
1.8957999941
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
110001
< 0.1%
96001
< 0.1%
22501
< 0.1%
21252
< 0.1%

V207
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1813
Distinct (%)4.3%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean70.66479508
Minimum0
Maximum24875
Zeros36928
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.735480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile68.35091858
Maximum24875
Range24875
Interquartile range (IQR)0

Descriptive statistics

Standard deviation884.9514625
Coefficient of variation (CV)12.52322973
Kurtosis453.8241848
Mean70.66479508
Median Absolute Deviation (MAD)0
Skewness20.17275279
Sum2960784.249
Variance783139.091
MonotonicityNot monotonic
2025-10-30T00:20:45.784348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036928
 
20.8%
877272
 
0.2%
50178
 
0.1%
100139
 
0.1%
619120
 
0.1%
2593
 
0.1%
15082
 
< 0.1%
2072
 
< 0.1%
20067
 
< 0.1%
3066
 
< 0.1%
Other values (1803)3882
 
2.2%
(Missing)135263
76.3%
ValueCountFrequency (%)
036928
20.8%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.7383999821
 
< 0.1%
1.8957999941
 
< 0.1%
ValueCountFrequency (%)
248751
 
< 0.1%
246751
 
< 0.1%
243751
 
< 0.1%
243253
< 0.1%
242501
 
< 0.1%

V208
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1555
Distinct (%)3.7%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean9.144518534
Minimum0
Maximum3300
Zeros37163
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.830541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64.82855312
Coefficient of variation (CV)7.089334761
Kurtosis1125.815803
Mean9.144518534
Median Absolute Deviation (MAD)0
Skewness28.10172564
Sum383658.2751
Variance4202.741299
MonotonicityNot monotonic
2025-10-30T00:20:45.877725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037163
 
21.0%
75452
 
0.3%
50218
 
0.1%
100154
 
0.1%
25106
 
0.1%
2095
 
0.1%
20092
 
0.1%
15089
 
0.1%
3065
 
< 0.1%
1565
 
< 0.1%
Other values (1545)3456
 
2.0%
(Missing)135207
76.3%
ValueCountFrequency (%)
037163
21.0%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.7383999821
 
< 0.1%
2.1078000073
 
< 0.1%
ValueCountFrequency (%)
33001
 
< 0.1%
32501
 
< 0.1%
31001
 
< 0.1%
30004
< 0.1%
25002
< 0.1%

V209
Real number (ℝ)

Missing  Zeros 

Distinct1883
Distinct (%)4.5%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean35.04521764
Minimum0
Maximum8050
Zeros36842
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:45.929192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile71.77899933
Maximum8050
Range8050
Interquartile range (IQR)0

Descriptive statistics

Standard deviation248.8130486
Coefficient of variation (CV)7.099771819
Kurtosis218.6677051
Mean35.04521764
Median Absolute Deviation (MAD)0
Skewness12.25242831
Sum1470322.106
Variance61907.93316
MonotonicityNot monotonic
2025-10-30T00:20:45.978766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036842
 
20.8%
1961276
 
0.2%
50179
 
0.1%
100140
 
0.1%
1084119
 
0.1%
200102
 
0.1%
15097
 
0.1%
2585
 
< 0.1%
2051
 
< 0.1%
30051
 
< 0.1%
Other values (1873)4013
 
2.3%
(Missing)135207
76.3%
ValueCountFrequency (%)
036842
20.8%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.7383999821
 
< 0.1%
2.1078000073
 
< 0.1%
ValueCountFrequency (%)
80503
< 0.1%
76752
< 0.1%
59502
< 0.1%
47253
< 0.1%
45751
 
< 0.1%

V210
Real number (ℝ)

Missing  Zeros 

Distinct1662
Distinct (%)4.0%
Missing135207
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean14.72236889
Minimum0
Maximum3300
Zeros37071
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.026854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile57.51979828
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation89.59064963
Coefficient of variation (CV)6.085341991
Kurtosis382.7411388
Mean14.72236889
Median Absolute Deviation (MAD)0
Skewness15.69634947
Sum617676.9869
Variance8026.484501
MonotonicityNot monotonic
2025-10-30T00:20:46.074572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037071
 
20.9%
465416
 
0.2%
50205
 
0.1%
100163
 
0.1%
200104
 
0.1%
15097
 
0.1%
2588
 
< 0.1%
2061
 
< 0.1%
7554
 
< 0.1%
3051
 
< 0.1%
Other values (1652)3645
 
2.1%
(Missing)135207
76.3%
ValueCountFrequency (%)
037071
20.9%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.7383999821
 
< 0.1%
2.1078000073
 
< 0.1%
ValueCountFrequency (%)
33001
 
< 0.1%
32501
 
< 0.1%
31001
 
< 0.1%
30004
< 0.1%
25002
< 0.1%

V211
Real number (ℝ)

Missing  Zeros 

Distinct2983
Distinct (%)7.1%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean397.749486
Minimum0
Maximum92252
Zeros36196
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.130037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile194.9577026
Maximum92252
Range92252
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4641.052728
Coefficient of variation (CV)11.66828089
Kurtosis236.2940075
Mean397.749486
Median Absolute Deviation (MAD)0
Skewness14.87380625
Sum16665305.71
Variance21539370.42
MonotonicityNot monotonic
2025-10-30T00:20:46.268318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036196
 
20.4%
100326
 
0.2%
150216
 
0.1%
200212
 
0.1%
300177
 
0.1%
50176
 
0.1%
7568
 
< 0.1%
40067
 
< 0.1%
60065
 
< 0.1%
2561
 
< 0.1%
Other values (2973)4335
 
2.4%
(Missing)135263
76.3%
ValueCountFrequency (%)
036196
20.4%
0.29150000211
 
< 0.1%
0.4239999951
 
< 0.1%
0.87819999462
 
< 0.1%
1.000599982
 
< 0.1%
ValueCountFrequency (%)
922521
< 0.1%
920401
< 0.1%
919341
< 0.1%
912981
< 0.1%
909801
< 0.1%

V212
Real number (ℝ)

Missing  Zeros 

Distinct3457
Distinct (%)8.3%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean782.1277823
Minimum0
Maximum129006
Zeros35540
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.315302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile265.5077393
Maximum129006
Range129006
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7641.279073
Coefficient of variation (CV)9.769860176
Kurtosis172.6585787
Mean782.1277823
Median Absolute Deviation (MAD)0
Skewness12.62838584
Sum32770371.95
Variance58389145.87
MonotonicityNot monotonic
2025-10-30T00:20:46.366733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035540
 
20.1%
100311
 
0.2%
150218
 
0.1%
200210
 
0.1%
50182
 
0.1%
300179
 
0.1%
40081
 
< 0.1%
60072
 
< 0.1%
2568
 
< 0.1%
7566
 
< 0.1%
Other values (3447)4972
 
2.8%
(Missing)135263
76.3%
ValueCountFrequency (%)
035540
20.1%
0.29150000211
 
< 0.1%
0.4239999951
 
< 0.1%
0.87819999462
 
< 0.1%
1.000599982
 
< 0.1%
ValueCountFrequency (%)
1290068
< 0.1%
1287821
 
< 0.1%
1286701
 
< 0.1%
1281661
 
< 0.1%
1280541
 
< 0.1%

V213
Real number (ℝ)

Missing  Zeros 

Distinct3263
Distinct (%)7.8%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean554.3733348
Minimum0
Maximum97516
Zeros35801
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.418248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile232.2684906
Maximum97516
Range97516
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5610.496964
Coefficient of variation (CV)10.12043078
Kurtosis178.3499421
Mean554.3733348
Median Absolute Deviation (MAD)0
Skewness12.8656966
Sum23227688.36
Variance31477676.18
MonotonicityNot monotonic
2025-10-30T00:20:46.466085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035801
 
20.2%
100316
 
0.2%
200216
 
0.1%
150215
 
0.1%
300183
 
0.1%
50177
 
0.1%
40075
 
< 0.1%
60070
 
< 0.1%
7566
 
< 0.1%
2561
 
< 0.1%
Other values (3253)4719
 
2.7%
(Missing)135263
76.3%
ValueCountFrequency (%)
035801
20.2%
0.29150000211
 
< 0.1%
0.4239999951
 
< 0.1%
0.87819999462
 
< 0.1%
1.000599982
 
< 0.1%
ValueCountFrequency (%)
975161
< 0.1%
974041
< 0.1%
969001
< 0.1%
967881
< 0.1%
967321
< 0.1%

V214
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1089
Distinct (%)2.6%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean44.01122112
Minimum0
Maximum104060
Zeros37674
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.514274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile125
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation884.8908494
Coefficient of variation (CV)20.10602812
Kurtosis9687.144878
Mean44.01122112
Median Absolute Deviation (MAD)0
Skewness91.76156511
Sum1844026.154
Variance783031.8154
MonotonicityNot monotonic
2025-10-30T00:20:46.562597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037674
 
21.3%
100403
 
0.2%
200266
 
0.2%
1165255
 
0.1%
150211
 
0.1%
50200
 
0.1%
300191
 
0.1%
400116
 
0.1%
500115
 
0.1%
250112
 
0.1%
Other values (1079)2356
 
1.3%
(Missing)135263
76.3%
ValueCountFrequency (%)
037674
21.3%
1.3085999494
 
< 0.1%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
2.5334000591
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
432001
< 0.1%

V215
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1378
Distinct (%)3.3%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean139.7991851
Minimum0
Maximum104060
Zeros36992
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.614440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile164.4060059
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1240.747169
Coefficient of variation (CV)8.875210308
Kurtosis2518.983956
Mean139.7991851
Median Absolute Deviation (MAD)0
Skewness36.4838628
Sum5857446.057
Variance1539453.537
MonotonicityNot monotonic
2025-10-30T00:20:46.662811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036992
 
20.9%
100415
 
0.2%
200272
 
0.2%
6428256
 
0.1%
50222
 
0.1%
150216
 
0.1%
300190
 
0.1%
250102
 
0.1%
400101
 
0.1%
50096
 
0.1%
Other values (1368)3037
 
1.7%
(Missing)135263
76.3%
ValueCountFrequency (%)
036992
20.9%
1.3085999494
 
< 0.1%
2.1517999171
 
< 0.1%
2.2916998861
 
< 0.1%
2.2960000041
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
432001
< 0.1%

V216
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1249
Distinct (%)3.0%
Missing135263
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean77.60907071
Minimum0
Maximum104060
Zeros37254
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.712496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation953.8832698
Coefficient of variation (CV)12.29087349
Kurtosis7165.593061
Mean77.60907071
Median Absolute Deviation (MAD)0
Skewness73.71280144
Sum3251742.454
Variance909893.2924
MonotonicityNot monotonic
2025-10-30T00:20:46.764185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037254
 
21.0%
100406
 
0.2%
200273
 
0.2%
150212
 
0.1%
50207
 
0.1%
300187
 
0.1%
2932181
 
0.1%
250103
 
0.1%
400103
 
0.1%
50095
 
0.1%
Other values (1239)2878
 
1.6%
(Missing)135263
76.3%
ValueCountFrequency (%)
037254
21.0%
1.3085999494
 
< 0.1%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
2.5334000591
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
432001
< 0.1%

V217
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct138
Distinct (%)0.4%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.116093303
Minimum0
Maximum301
Zeros29492
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.810779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum301
Range301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.10454866
Coefficient of variation (CV)9.053498154
Kurtosis535.0912415
Mean1.116093303
Median Absolute Deviation (MAD)0
Skewness22.16085609
Sum43733
Variance102.1019037
MonotonicityNot monotonic
2025-10-30T00:20:46.862215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029492
 
16.6%
14610
 
2.6%
22025
 
1.1%
31090
 
0.6%
4634
 
0.4%
5325
 
0.2%
6231
 
0.1%
7153
 
0.1%
8106
 
0.1%
975
 
< 0.1%
Other values (128)443
 
0.3%
(Missing)137978
77.9%
ValueCountFrequency (%)
029492
16.6%
14610
 
2.6%
22025
 
1.1%
31090
 
0.6%
4634
 
0.4%
ValueCountFrequency (%)
3011
 
< 0.1%
2991
 
< 0.1%
2981
 
< 0.1%
2963
< 0.1%
2951
 
< 0.1%

V218
Real number (ℝ)

Missing  Zeros 

Distinct184
Distinct (%)0.5%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.787183544
Minimum0
Maximum393
Zeros27090
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:46.909022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum393
Range393
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.39686572
Coefficient of variation (CV)8.055616765
Kurtosis392.1960941
Mean1.787183544
Median Absolute Deviation (MAD)0
Skewness18.83980782
Sum70029
Variance207.2697426
MonotonicityNot monotonic
2025-10-30T00:20:46.960502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027090
 
15.3%
15136
 
2.9%
22410
 
1.4%
31379
 
0.8%
4867
 
0.5%
5496
 
0.3%
6359
 
0.2%
7264
 
0.1%
8178
 
0.1%
9150
 
0.1%
Other values (174)855
 
0.5%
(Missing)137978
77.9%
ValueCountFrequency (%)
027090
15.3%
15136
 
2.9%
22410
 
1.4%
31379
 
0.8%
4867
 
0.5%
ValueCountFrequency (%)
3931
< 0.1%
3891
< 0.1%
3881
< 0.1%
3861
< 0.1%
3851
< 0.1%

V219
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct166
Distinct (%)0.4%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.432625561
Minimum0
Maximum371
Zeros28316
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.009819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum371
Range371
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.58338508
Coefficient of variation (CV)8.783443084
Kurtosis483.0974191
Mean1.432625561
Median Absolute Deviation (MAD)0
Skewness20.96739617
Sum56136
Variance158.3415801
MonotonicityNot monotonic
2025-10-30T00:20:47.061416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028316
 
16.0%
14877
 
2.8%
22228
 
1.3%
31253
 
0.7%
4737
 
0.4%
5432
 
0.2%
6297
 
0.2%
7205
 
0.1%
8137
 
0.1%
9101
 
0.1%
Other values (156)601
 
0.3%
(Missing)137978
77.9%
ValueCountFrequency (%)
028316
16.0%
14877
 
2.8%
22228
 
1.3%
31253
 
0.7%
4737
 
0.4%
ValueCountFrequency (%)
3711
< 0.1%
3671
< 0.1%
3661
< 0.1%
3641
< 0.1%
3631
< 0.1%

V220
Real number (ℝ)

Missing  Zeros 

Distinct25
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.1729755179
Minimum0
Maximum24
Zeros39950
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.102568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.021243505
Coefficient of variation (CV)5.903977149
Kurtosis147.3136898
Mean0.1729755179
Median Absolute Deviation (MAD)0
Skewness10.43672235
Sum7348
Variance1.042938296
MonotonicityNot monotonic
2025-10-30T00:20:47.139598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
039950
 
22.5%
11124
 
0.6%
2463
 
0.3%
3322
 
0.2%
4190
 
0.1%
5107
 
0.1%
696
 
0.1%
753
 
< 0.1%
841
 
< 0.1%
928
 
< 0.1%
Other values (15)106
 
0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
039950
22.5%
11124
 
0.6%
2463
 
0.3%
3322
 
0.2%
4190
 
0.1%
ValueCountFrequency (%)
242
 
< 0.1%
232
 
< 0.1%
221
 
< 0.1%
213
< 0.1%
205
< 0.1%

V221
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct57
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1.293455744
Minimum0
Maximum384
Zeros9732
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.182237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum384
Range384
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.228332826
Coefficient of variation (CV)2.495897398
Kurtosis6127.40141
Mean1.293455744
Median Absolute Deviation (MAD)0
Skewness61.57050011
Sum54946
Variance10.42213283
MonotonicityNot monotonic
2025-10-30T00:20:47.235978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124755
 
14.0%
09732
 
5.5%
23850
 
2.2%
31688
 
1.0%
4952
 
0.5%
5545
 
0.3%
6259
 
0.1%
7177
 
0.1%
8122
 
0.1%
986
 
< 0.1%
Other values (47)314
 
0.2%
(Missing)134682
76.0%
ValueCountFrequency (%)
09732
 
5.5%
124755
14.0%
23850
 
2.2%
31688
 
1.0%
4952
 
0.5%
ValueCountFrequency (%)
3841
< 0.1%
2591
< 0.1%
2171
< 0.1%
911
< 0.1%
891
< 0.1%

V222
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct57
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1.379684557
Minimum0
Maximum384
Zeros9709
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.287565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum384
Range384
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.372762714
Coefficient of variation (CV)2.44458974
Kurtosis5144.618329
Mean1.379684557
Median Absolute Deviation (MAD)0
Skewness54.54966886
Sum58609
Variance11.37552833
MonotonicityNot monotonic
2025-10-30T00:20:47.338111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124032
 
13.6%
09709
 
5.5%
24047
 
2.3%
31804
 
1.0%
41021
 
0.6%
5609
 
0.3%
6360
 
0.2%
7223
 
0.1%
8142
 
0.1%
9125
 
0.1%
Other values (47)408
 
0.2%
(Missing)134682
76.0%
ValueCountFrequency (%)
09709
5.5%
124032
13.6%
24047
 
2.3%
31804
 
1.0%
41021
 
0.6%
ValueCountFrequency (%)
3841
< 0.1%
2591
< 0.1%
2171
< 0.1%
911
< 0.1%
891
< 0.1%

V223
Real number (ℝ)

Missing  Zeros 

Distinct13
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.09292057983
Minimum0
Maximum15
Zeros36217
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.375822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3971633386
Coefficient of variation (CV)4.274223636
Kurtosis255.6659194
Mean0.09292057983
Median Absolute Deviation (MAD)0
Skewness10.79055235
Sum3641
Variance0.1577387175
MonotonicityNot monotonic
2025-10-30T00:20:47.408214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
036217
 
20.4%
12523
 
1.4%
2348
 
0.2%
363
 
< 0.1%
412
 
< 0.1%
75
 
< 0.1%
53
 
< 0.1%
63
 
< 0.1%
143
 
< 0.1%
92
 
< 0.1%
Other values (3)5
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
036217
20.4%
12523
 
1.4%
2348
 
0.2%
363
 
< 0.1%
412
 
< 0.1%
ValueCountFrequency (%)
151
 
< 0.1%
143
< 0.1%
112
< 0.1%
102
< 0.1%
92
< 0.1%

V224
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct51
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.3845191915
Minimum0
Maximum143
Zeros33711
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.453279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum143
Range143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.231931804
Coefficient of variation (CV)8.405124829
Kurtosis1143.818067
Mean0.3845191915
Median Absolute Deviation (MAD)0
Skewness30.57013062
Sum15067
Variance10.44538319
MonotonicityNot monotonic
2025-10-30T00:20:47.500663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033711
 
19.0%
13707
 
2.1%
2860
 
0.5%
3288
 
0.2%
4126
 
0.1%
18114
 
0.1%
560
 
< 0.1%
655
 
< 0.1%
745
 
< 0.1%
933
 
< 0.1%
Other values (41)185
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
033711
19.0%
13707
 
2.1%
2860
 
0.5%
3288
 
0.2%
4126
 
0.1%
ValueCountFrequency (%)
1431
< 0.1%
1411
< 0.1%
1391
< 0.1%
1372
< 0.1%
1322
< 0.1%

V225
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct25
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.1893630053
Minimum0
Maximum51
Zeros34961
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.542054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.224436706
Coefficient of variation (CV)6.466081925
Kurtosis978.3186589
Mean0.1893630053
Median Absolute Deviation (MAD)0
Skewness27.36248084
Sum7420
Variance1.499245247
MonotonicityNot monotonic
2025-10-30T00:20:47.579351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
034961
 
19.7%
13188
 
1.8%
2590
 
0.3%
3171
 
0.1%
7121
 
0.1%
453
 
< 0.1%
533
 
< 0.1%
619
 
< 0.1%
88
 
< 0.1%
98
 
< 0.1%
Other values (15)32
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
034961
19.7%
13188
 
1.8%
2590
 
0.3%
3171
 
0.1%
453
 
< 0.1%
ValueCountFrequency (%)
512
< 0.1%
501
 
< 0.1%
492
< 0.1%
483
< 0.1%
461
 
< 0.1%

V226
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct63
Distinct (%)0.2%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.2625561454
Minimum0
Maximum242
Zeros36749
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.622034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum242
Range242
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.086990576
Coefficient of variation (CV)11.75744933
Kurtosis2172.563227
Mean0.2625561454
Median Absolute Deviation (MAD)0
Skewness36.51275631
Sum10288
Variance9.529510818
MonotonicityNot monotonic
2025-10-30T00:20:47.675824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036749
 
20.7%
11270
 
0.7%
2473
 
0.3%
3220
 
0.1%
4145
 
0.1%
566
 
< 0.1%
641
 
< 0.1%
722
 
< 0.1%
819
 
< 0.1%
916
 
< 0.1%
Other values (53)163
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
036749
20.7%
11270
 
0.7%
2473
 
0.3%
3220
 
0.1%
4145
 
0.1%
ValueCountFrequency (%)
2422
< 0.1%
1211
 
< 0.1%
741
 
< 0.1%
732
< 0.1%
723
< 0.1%

V227
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct30
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.1570856874
Minimum0
Maximum360
Zeros38583
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.717588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum360
Range360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.537622775
Coefficient of variation (CV)16.15438566
Kurtosis12352.22296
Mean0.1570856874
Median Absolute Deviation (MAD)0
Skewness101.4966668
Sum6673
Variance6.439529349
MonotonicityNot monotonic
2025-10-30T00:20:47.760649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
038583
 
21.8%
13121
 
1.8%
2516
 
0.3%
3138
 
0.1%
435
 
< 0.1%
629
 
< 0.1%
523
 
< 0.1%
84
 
< 0.1%
113
 
< 0.1%
133
 
< 0.1%
Other values (20)25
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
038583
21.8%
13121
 
1.8%
2516
 
0.3%
3138
 
0.1%
435
 
< 0.1%
ValueCountFrequency (%)
3601
< 0.1%
2381
< 0.1%
2021
< 0.1%
781
< 0.1%
741
< 0.1%

V228
Real number (ℝ)

Missing 

Distinct39
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.360044916
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.804312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum53
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.485044298
Coefficient of variation (CV)1.091908274
Kurtosis228.2992339
Mean1.360044916
Median Absolute Deviation (MAD)0
Skewness11.50289968
Sum53292
Variance2.205356566
MonotonicityNot monotonic
2025-10-30T00:20:47.850832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
133345
 
18.8%
23232
 
1.8%
31080
 
0.6%
4548
 
0.3%
5310
 
0.2%
6187
 
0.1%
7128
 
0.1%
888
 
< 0.1%
957
 
< 0.1%
1045
 
< 0.1%
Other values (29)164
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
133345
18.8%
23232
 
1.8%
31080
 
0.6%
4548
 
0.3%
5310
 
0.2%
ValueCountFrequency (%)
531
< 0.1%
471
< 0.1%
461
< 0.1%
441
< 0.1%
421
< 0.1%

V229
Real number (ℝ)

Missing  Skewed 

Distinct63
Distinct (%)0.2%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.637989996
Minimum1
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:47.903206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum176
Range175
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.118624511
Coefficient of variation (CV)2.514438135
Kurtosis1090.750579
Mean1.637989996
Median Absolute Deviation (MAD)0
Skewness29.63834851
Sum64183
Variance16.96306786
MonotonicityNot monotonic
2025-10-30T00:20:47.953321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131224
 
17.6%
24123
 
2.3%
31501
 
0.8%
4765
 
0.4%
5463
 
0.3%
6280
 
0.2%
7180
 
0.1%
8131
 
0.1%
985
 
< 0.1%
1076
 
< 0.1%
Other values (53)356
 
0.2%
(Missing)137978
77.9%
ValueCountFrequency (%)
131224
17.6%
24123
 
2.3%
31501
 
0.8%
4765
 
0.4%
5463
 
0.3%
ValueCountFrequency (%)
1761
< 0.1%
1751
< 0.1%
1731
< 0.1%
1711
< 0.1%
1701
< 0.1%

V230
Real number (ℝ)

Missing 

Distinct55
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.468533075
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.002205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum64
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.098639466
Coefficient of variation (CV)1.429071978
Kurtosis317.9700621
Mean1.468533075
Median Absolute Deviation (MAD)0
Skewness14.53268961
Sum57543
Variance4.404287606
MonotonicityNot monotonic
2025-10-30T00:20:48.051442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132401
 
18.3%
23637
 
2.1%
31254
 
0.7%
4647
 
0.4%
5363
 
0.2%
6234
 
0.1%
7142
 
0.1%
8121
 
0.1%
973
 
< 0.1%
1056
 
< 0.1%
Other values (45)256
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
132401
18.3%
23637
 
2.1%
31254
 
0.7%
4647
 
0.4%
5363
 
0.2%
ValueCountFrequency (%)
641
 
< 0.1%
631
 
< 0.1%
623
< 0.1%
612
< 0.1%
602
< 0.1%

V231
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct132
Distinct (%)0.3%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.8260004083
Minimum0
Maximum291
Zeros33822
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.103580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum291
Range291
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.391677183
Coefficient of variation (CV)11.37006361
Kurtosis567.4800935
Mean0.8260004083
Median Absolute Deviation (MAD)0
Skewness22.84356004
Sum32366
Variance88.20360031
MonotonicityNot monotonic
2025-10-30T00:20:48.150611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033822
 
19.1%
12256
 
1.3%
21166
 
0.7%
3651
 
0.4%
4363
 
0.2%
5213
 
0.1%
6145
 
0.1%
797
 
0.1%
882
 
< 0.1%
949
 
< 0.1%
Other values (122)340
 
0.2%
(Missing)137978
77.9%
ValueCountFrequency (%)
033822
19.1%
12256
 
1.3%
21166
 
0.7%
3651
 
0.4%
4363
 
0.2%
ValueCountFrequency (%)
2911
< 0.1%
2902
< 0.1%
2852
< 0.1%
2841
< 0.1%
2832
< 0.1%

V232
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct150
Distinct (%)0.4%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.072070233
Minimum0
Maximum330
Zeros33122
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.196522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum330
Range330
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.92562723
Coefficient of variation (CV)10.19114877
Kurtosis514.8515379
Mean1.072070233
Median Absolute Deviation (MAD)0
Skewness21.59455085
Sum42008
Variance119.3693304
MonotonicityNot monotonic
2025-10-30T00:20:48.243977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033122
 
18.7%
12279
 
1.3%
21266
 
0.7%
3735
 
0.4%
4442
 
0.2%
5286
 
0.2%
6203
 
0.1%
7133
 
0.1%
8106
 
0.1%
976
 
< 0.1%
Other values (140)536
 
0.3%
(Missing)137978
77.9%
ValueCountFrequency (%)
033122
18.7%
12279
 
1.3%
21266
 
0.7%
3735
 
0.4%
4442
 
0.2%
ValueCountFrequency (%)
3301
< 0.1%
3261
< 0.1%
3251
< 0.1%
3231
< 0.1%
3221
< 0.1%

V233
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct142
Distinct (%)0.4%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.9708299306
Minimum0
Maximum325
Zeros33483
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.297964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum325
Range325
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.605045
Coefficient of variation (CV)10.92368979
Kurtosis538.0129475
Mean0.9708299306
Median Absolute Deviation (MAD)0
Skewness22.19642454
Sum38041
Variance112.4669795
MonotonicityNot monotonic
2025-10-30T00:20:48.347264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033483
 
18.9%
12233
 
1.3%
21203
 
0.7%
3695
 
0.4%
4419
 
0.2%
5250
 
0.1%
6175
 
0.1%
7122
 
0.1%
898
 
0.1%
962
 
< 0.1%
Other values (132)444
 
0.3%
(Missing)137978
77.9%
ValueCountFrequency (%)
033483
18.9%
12233
 
1.3%
21203
 
0.7%
3695
 
0.4%
4419
 
0.2%
ValueCountFrequency (%)
3251
< 0.1%
3211
< 0.1%
3201
< 0.1%
3181
< 0.1%
3171
< 0.1%

V234
Real number (ℝ)

Missing  Zeros 

Distinct114
Distinct (%)0.3%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean2.126553672
Minimum0
Maximum121
Zeros36162
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.395202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.41070698
Coefficient of variation (CV)5.365821295
Kurtosis40.33834231
Mean2.126553672
Median Absolute Deviation (MAD)0
Skewness6.247871333
Sum90336
Variance130.2042338
MonotonicityNot monotonic
2025-10-30T00:20:48.443536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036162
 
20.4%
13209
 
1.8%
21079
 
0.6%
3351
 
0.2%
73266
 
0.2%
4172
 
0.1%
3871
 
< 0.1%
660
 
< 0.1%
559
 
< 0.1%
5342
 
< 0.1%
Other values (104)1009
 
0.6%
(Missing)134682
76.0%
ValueCountFrequency (%)
036162
20.4%
13209
 
1.8%
21079
 
0.6%
3351
 
0.2%
4172
 
0.1%
ValueCountFrequency (%)
1211
 
< 0.1%
1203
 
< 0.1%
1195
< 0.1%
1189
< 0.1%
1171
 
< 0.1%

V235
Real number (ℝ)

Missing  Zeros 

Distinct17
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.185483871
Minimum0
Maximum16
Zeros35389
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.480995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9267083319
Coefficient of variation (CV)4.996166659
Kurtosis146.5167006
Mean0.185483871
Median Absolute Deviation (MAD)0
Skewness10.75636026
Sum7268
Variance0.8587883323
MonotonicityNot monotonic
2025-10-30T00:20:48.522478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
035389
 
20.0%
12517
 
1.4%
2723
 
0.4%
3254
 
0.1%
495
 
0.1%
1561
 
< 0.1%
533
 
< 0.1%
1132
 
< 0.1%
622
 
< 0.1%
1220
 
< 0.1%
Other values (7)38
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
035389
20.0%
12517
 
1.4%
2723
 
0.4%
3254
 
0.1%
495
 
0.1%
ValueCountFrequency (%)
161
 
< 0.1%
1561
< 0.1%
147
 
< 0.1%
131
 
< 0.1%
1220
 
< 0.1%

V236
Real number (ℝ)

Missing  Zeros 

Distinct35
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.3132911392
Minimum0
Maximum45
Zeros34725
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.563326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.223173755
Coefficient of variation (CV)7.096190974
Kurtosis234.0580802
Mean0.3132911392
Median Absolute Deviation (MAD)0
Skewness14.64754335
Sum12276
Variance4.942501543
MonotonicityNot monotonic
2025-10-30T00:20:48.605571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
034725
 
19.6%
12801
 
1.6%
2885
 
0.5%
3331
 
0.2%
4123
 
0.1%
3862
 
< 0.1%
554
 
< 0.1%
646
 
< 0.1%
724
 
< 0.1%
3422
 
< 0.1%
Other values (25)111
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
034725
19.6%
12801
 
1.6%
2885
 
0.5%
3331
 
0.2%
4123
 
0.1%
ValueCountFrequency (%)
455
 
< 0.1%
431
 
< 0.1%
411
 
< 0.1%
3862
< 0.1%
361
 
< 0.1%

V237
Real number (ℝ)

Missing  Zeros 

Distinct27
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.258881176
Minimum0
Maximum39
Zeros35075
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.644882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.786972378
Coefficient of variation (CV)6.902674059
Kurtosis258.7929554
Mean0.258881176
Median Absolute Deviation (MAD)0
Skewness15.22385603
Sum10144
Variance3.193270279
MonotonicityNot monotonic
2025-10-30T00:20:48.686575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
035075
 
19.8%
12637
 
1.5%
2814
 
0.5%
3302
 
0.2%
4103
 
0.1%
3262
 
< 0.1%
542
 
< 0.1%
627
 
< 0.1%
2819
 
< 0.1%
2919
 
< 0.1%
Other values (17)84
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
035075
19.8%
12637
 
1.5%
2814
 
0.5%
3302
 
0.2%
4103
 
0.1%
ValueCountFrequency (%)
395
 
< 0.1%
371
 
< 0.1%
351
 
< 0.1%
3262
< 0.1%
301
 
< 0.1%

V238
Real number (ℝ)

Missing  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.1275423729
Minimum0
Maximum23
Zeros39076
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.728403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5733673327
Coefficient of variation (CV)4.495504669
Kurtosis219.4969086
Mean0.1275423729
Median Absolute Deviation (MAD)0
Skewness10.60345202
Sum5418
Variance0.3287500983
MonotonicityNot monotonic
2025-10-30T00:20:48.763250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
039076
 
22.1%
12267
 
1.3%
2732
 
0.4%
3235
 
0.1%
486
 
< 0.1%
530
 
< 0.1%
619
 
< 0.1%
711
 
< 0.1%
146
 
< 0.1%
115
 
< 0.1%
Other values (8)13
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
039076
22.1%
12267
 
1.3%
2732
 
0.4%
3235
 
0.1%
486
 
< 0.1%
ValueCountFrequency (%)
231
 
< 0.1%
201
 
< 0.1%
161
 
< 0.1%
151
 
< 0.1%
146
< 0.1%

V239
Real number (ℝ)

Missing  Zeros 

Distinct19
Distinct (%)< 0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.1377589454
Minimum0
Maximum23
Zeros38946
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.796902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6274524079
Coefficient of variation (CV)4.554712626
Kurtosis200.2559776
Mean0.1377589454
Median Absolute Deviation (MAD)0
Skewness10.65055386
Sum5852
Variance0.3936965242
MonotonicityNot monotonic
2025-10-30T00:20:48.830619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
038946
 
22.0%
12310
 
1.3%
2765
 
0.4%
3258
 
0.1%
493
 
0.1%
531
 
< 0.1%
623
 
< 0.1%
712
 
< 0.1%
97
 
< 0.1%
87
 
< 0.1%
Other values (9)28
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
038946
22.0%
12310
 
1.3%
2765
 
0.4%
3258
 
0.1%
493
 
0.1%
ValueCountFrequency (%)
231
 
< 0.1%
201
 
< 0.1%
162
 
< 0.1%
153
< 0.1%
146
< 0.1%

V240
Real number (ℝ)

Missing  Skewed 

Distinct4
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.00122499
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.860069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05532677471
Coefficient of variation (CV)0.05525908289
Kurtosis5874.870837
Mean1.00122499
Median Absolute Deviation (MAD)0
Skewness70.4620024
Sum39232
Variance0.003061051999
MonotonicityNot monotonic
2025-10-30T00:20:48.888439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
139151
 
22.1%
229
 
< 0.1%
63
 
< 0.1%
51
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
139151
22.1%
229
 
< 0.1%
51
 
< 0.1%
63
 
< 0.1%
ValueCountFrequency (%)
63
 
< 0.1%
51
 
< 0.1%
229
 
< 0.1%
139151
22.1%

V241
Real number (ℝ)

Missing  Skewed 

Distinct3
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.000306247
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:48.914388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02143103137
Coefficient of variation (CV)0.02142447018
Kurtosis10881.94464
Mean1.000306247
Median Absolute Deviation (MAD)0
Skewness93.30356693
Sum39196
Variance0.0004592891058
MonotonicityNot monotonic
2025-10-30T00:20:49.032382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
139174
 
22.1%
29
 
< 0.1%
41
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
139174
22.1%
29
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
29
 
< 0.1%
139174
22.1%

V242
Real number (ℝ)

Missing 

Distinct19
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.113592283
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.063528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum20
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6581274454
Coefficient of variation (CV)0.590994977
Kurtosis182.9301444
Mean1.113592283
Median Absolute Deviation (MAD)0
Skewness11.36276027
Sum43635
Variance0.4331317344
MonotonicityNot monotonic
2025-10-30T00:20:49.100999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
136811
 
20.8%
21609
 
0.9%
3362
 
0.2%
4130
 
0.1%
587
 
< 0.1%
651
 
< 0.1%
746
 
< 0.1%
827
 
< 0.1%
914
 
< 0.1%
1111
 
< 0.1%
Other values (9)36
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
136811
20.8%
21609
 
0.9%
3362
 
0.2%
4130
 
0.1%
587
 
< 0.1%
ValueCountFrequency (%)
201
 
< 0.1%
191
 
< 0.1%
172
 
< 0.1%
165
< 0.1%
153
< 0.1%

V243
Real number (ℝ)

Missing  Skewed 

Distinct32
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.174816252
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.139842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum57
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.326307722
Coefficient of variation (CV)1.128949077
Kurtosis890.2391232
Mean1.174816252
Median Absolute Deviation (MAD)0
Skewness25.97431195
Sum46034
Variance1.759092175
MonotonicityNot monotonic
2025-10-30T00:20:49.177658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
136096
 
20.4%
22036
 
1.1%
3483
 
0.3%
4196
 
0.1%
5114
 
0.1%
665
 
< 0.1%
748
 
< 0.1%
841
 
< 0.1%
919
 
< 0.1%
1113
 
< 0.1%
Other values (22)73
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
136096
20.4%
22036
 
1.1%
3483
 
0.3%
4196
 
0.1%
5114
 
0.1%
ValueCountFrequency (%)
571
 
< 0.1%
551
 
< 0.1%
531
 
< 0.1%
523
< 0.1%
513
< 0.1%

V244
Real number (ℝ)

Missing 

Distinct21
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.118032871
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.216896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum22
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6942785927
Coefficient of variation (CV)0.6209822725
Kurtosis197.5439851
Mean1.118032871
Median Absolute Deviation (MAD)0
Skewness11.79727401
Sum43809
Variance0.4820227643
MonotonicityNot monotonic
2025-10-30T00:20:49.253082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
136784
 
20.8%
21613
 
0.9%
3365
 
0.2%
4135
 
0.1%
583
 
< 0.1%
667
 
< 0.1%
743
 
< 0.1%
822
 
< 0.1%
1016
 
< 0.1%
1114
 
< 0.1%
Other values (11)42
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
136784
20.8%
21613
 
0.9%
3365
 
0.2%
4135
 
0.1%
583
 
< 0.1%
ValueCountFrequency (%)
221
< 0.1%
201
< 0.1%
191
< 0.1%
182
< 0.1%
172
< 0.1%

V245
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct37
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.8830508475
Minimum0
Maximum262
Zeros9732
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.296178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum262
Range262
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.156678673
Coefficient of variation (CV)2.442304063
Kurtosis8159.925703
Mean0.8830508475
Median Absolute Deviation (MAD)0
Skewness79.67157368
Sum37512
Variance4.651262897
MonotonicityNot monotonic
2025-10-30T00:20:49.342578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
130853
 
17.4%
09732
 
5.5%
21289
 
0.7%
3294
 
0.2%
4100
 
0.1%
557
 
< 0.1%
640
 
< 0.1%
740
 
< 0.1%
811
 
< 0.1%
99
 
< 0.1%
Other values (27)55
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
09732
 
5.5%
130853
17.4%
21289
 
0.7%
3294
 
0.2%
4100
 
0.1%
ValueCountFrequency (%)
2621
< 0.1%
1991
< 0.1%
1871
< 0.1%
801
< 0.1%
731
< 0.1%

V246
Real number (ℝ)

Missing 

Distinct35
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.187806247
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.384331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum44
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.101269575
Coefficient of variation (CV)0.9271458013
Kurtosis365.6884581
Mean1.187806247
Median Absolute Deviation (MAD)0
Skewness15.42745364
Sum46543
Variance1.212794677
MonotonicityNot monotonic
2025-10-30T00:20:49.430950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
135823
 
20.2%
22219
 
1.3%
3485
 
0.3%
4211
 
0.1%
5115
 
0.1%
680
 
< 0.1%
765
 
< 0.1%
836
 
< 0.1%
1025
 
< 0.1%
1123
 
< 0.1%
Other values (25)102
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
135823
20.2%
22219
 
1.3%
3485
 
0.3%
4211
 
0.1%
5115
 
0.1%
ValueCountFrequency (%)
441
< 0.1%
401
< 0.1%
391
< 0.1%
371
< 0.1%
351
< 0.1%

V247
Real number (ℝ)

Missing  Skewed 

Distinct13
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.024397713
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.465001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum15
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2600934787
Coefficient of variation (CV)0.2538989255
Kurtosis810.3206884
Mean1.024397713
Median Absolute Deviation (MAD)0
Skewness23.46343813
Sum40140
Variance0.06764861767
MonotonicityNot monotonic
2025-10-30T00:20:49.495824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
138516
 
21.7%
2557
 
0.3%
358
 
< 0.1%
418
 
< 0.1%
59
 
< 0.1%
77
 
< 0.1%
106
 
< 0.1%
66
 
< 0.1%
92
 
< 0.1%
82
 
< 0.1%
Other values (3)3
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
138516
21.7%
2557
 
0.3%
358
 
< 0.1%
418
 
< 0.1%
59
 
< 0.1%
ValueCountFrequency (%)
151
 
< 0.1%
141
 
< 0.1%
111
 
< 0.1%
106
< 0.1%
92
 
< 0.1%

V248
Real number (ℝ)

Missing  Skewed 

Distinct15
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.066021846
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.527374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum36
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.841133666
Coefficient of variation (CV)0.7890398019
Kurtosis1393.93319
Mean1.066021846
Median Absolute Deviation (MAD)0
Skewness35.30440914
Sum41771
Variance0.707505844
MonotonicityNot monotonic
2025-10-30T00:20:49.561883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
137756
 
21.3%
21153
 
0.7%
3155
 
0.1%
452
 
< 0.1%
520
 
< 0.1%
3516
 
< 0.1%
612
 
< 0.1%
76
 
< 0.1%
84
 
< 0.1%
343
 
< 0.1%
Other values (5)7
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
137756
21.3%
21153
 
0.7%
3155
 
0.1%
452
 
< 0.1%
520
 
< 0.1%
ValueCountFrequency (%)
361
 
< 0.1%
3516
< 0.1%
343
 
< 0.1%
331
 
< 0.1%
151
 
< 0.1%

V249
Real number (ℝ)

Missing  Skewed 

Distinct16
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.040628828
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.595242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum22
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4961973898
Coefficient of variation (CV)0.4768245665
Kurtosis1130.944199
Mean1.040628828
Median Absolute Deviation (MAD)0
Skewness30.8727441
Sum40776
Variance0.2462118497
MonotonicityNot monotonic
2025-10-30T00:20:49.627048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
138237
 
21.6%
2769
 
0.4%
398
 
0.1%
436
 
< 0.1%
512
 
< 0.1%
197
 
< 0.1%
216
 
< 0.1%
65
 
< 0.1%
204
 
< 0.1%
73
 
< 0.1%
Other values (6)7
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
138237
21.6%
2769
 
0.4%
398
 
0.1%
436
 
< 0.1%
512
 
< 0.1%
ValueCountFrequency (%)
221
 
< 0.1%
216
< 0.1%
204
< 0.1%
197
< 0.1%
182
 
< 0.1%

V250
Real number (ℝ)

Missing  Zeros 

Distinct15
Distinct (%)< 0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.7874293785
Minimum0
Maximum17
Zeros9732
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.661807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4818435901
Coefficient of variation (CV)0.6119197521
Kurtosis83.39116428
Mean0.7874293785
Median Absolute Deviation (MAD)0
Skewness2.619019666
Sum33450
Variance0.2321732453
MonotonicityNot monotonic
2025-10-30T00:20:49.694942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
132258
 
18.2%
09732
 
5.5%
2391
 
0.2%
365
 
< 0.1%
417
 
< 0.1%
56
 
< 0.1%
102
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
61
 
< 0.1%
Other values (5)5
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
09732
 
5.5%
132258
18.2%
2391
 
0.2%
365
 
< 0.1%
417
 
< 0.1%
ValueCountFrequency (%)
171
< 0.1%
151
< 0.1%
141
< 0.1%
121
< 0.1%
111
< 0.1%

V251
Real number (ℝ)

Missing  Zeros 

Distinct15
Distinct (%)< 0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.7931967985
Minimum0
Maximum17
Zeros9709
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.727753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4953284408
Coefficient of variation (CV)0.624471054
Kurtosis77.35018008
Mean0.7931967985
Median Absolute Deviation (MAD)0
Skewness2.745497274
Sum33695
Variance0.2453502642
MonotonicityNot monotonic
2025-10-30T00:20:49.760906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
132129
 
18.1%
09709
 
5.5%
2507
 
0.3%
383
 
< 0.1%
427
 
< 0.1%
57
 
< 0.1%
67
 
< 0.1%
73
 
< 0.1%
102
 
< 0.1%
81
 
< 0.1%
Other values (5)5
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
09709
 
5.5%
132129
18.1%
2507
 
0.3%
383
 
< 0.1%
427
 
< 0.1%
ValueCountFrequency (%)
171
< 0.1%
151
< 0.1%
141
< 0.1%
121
< 0.1%
111
< 0.1%

V252
Real number (ℝ)

Missing  Skewed 

Distinct16
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.030879951
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.795419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum17
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.359024562
Coefficient of variation (CV)0.3482700014
Kurtosis816.3211502
Mean1.030879951
Median Absolute Deviation (MAD)0
Skewness24.58455828
Sum40394
Variance0.1288986361
MonotonicityNot monotonic
2025-10-30T00:20:49.829459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
138511
 
21.7%
2482
 
0.3%
395
 
0.1%
440
 
< 0.1%
516
 
< 0.1%
87
 
< 0.1%
77
 
< 0.1%
66
 
< 0.1%
115
 
< 0.1%
164
 
< 0.1%
Other values (6)11
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
138511
21.7%
2482
 
0.3%
395
 
0.1%
440
 
< 0.1%
516
 
< 0.1%
ValueCountFrequency (%)
172
< 0.1%
164
< 0.1%
151
 
< 0.1%
131
 
< 0.1%
122
< 0.1%

V253
Real number (ℝ)

Missing  Skewed 

Distinct40
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.15174561
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.873743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum163
Range162
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.404644104
Coefficient of variation (CV)2.956073002
Kurtosis1770.243624
Mean1.15174561
Median Absolute Deviation (MAD)0
Skewness41.40176483
Sum45130
Variance11.59160148
MonotonicityNot monotonic
2025-10-30T00:20:49.918246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
137594
 
21.2%
21100
 
0.6%
3240
 
0.1%
490
 
0.1%
553
 
< 0.1%
619
 
< 0.1%
814
 
< 0.1%
714
 
< 0.1%
910
 
< 0.1%
186
 
< 0.1%
Other values (30)44
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
137594
21.2%
21100
 
0.6%
3240
 
0.1%
490
 
0.1%
553
 
< 0.1%
ValueCountFrequency (%)
1631
< 0.1%
1621
< 0.1%
1601
< 0.1%
1582
< 0.1%
1522
< 0.1%

V254
Real number (ℝ)

Missing  Skewed 

Distinct28
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.071074929
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:49.958067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum60
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.269666327
Coefficient of variation (CV)1.185413171
Kurtosis1615.078554
Mean1.071074929
Median Absolute Deviation (MAD)0
Skewness38.6482919
Sum41969
Variance1.612052582
MonotonicityNot monotonic
2025-10-30T00:20:49.995916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
138159
 
21.5%
2713
 
0.4%
3150
 
0.1%
470
 
< 0.1%
522
 
< 0.1%
612
 
< 0.1%
79
 
< 0.1%
89
 
< 0.1%
116
 
< 0.1%
95
 
< 0.1%
Other values (18)29
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
138159
21.5%
2713
 
0.4%
3150
 
0.1%
470
 
< 0.1%
522
 
< 0.1%
ValueCountFrequency (%)
602
< 0.1%
592
< 0.1%
582
< 0.1%
573
< 0.1%
561
 
< 0.1%

V255
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct30
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.8091572505
Minimum0
Maximum87
Zeros9732
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.034443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.039825141
Coefficient of variation (CV)1.285071772
Kurtosis3163.000157
Mean0.8091572505
Median Absolute Deviation (MAD)0
Skewness46.18426341
Sum34373
Variance1.081236325
MonotonicityNot monotonic
2025-10-30T00:20:50.077090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
132157
 
18.2%
09732
 
5.5%
2409
 
0.2%
392
 
0.1%
438
 
< 0.1%
512
 
< 0.1%
711
 
< 0.1%
83
 
< 0.1%
312
 
< 0.1%
102
 
< 0.1%
Other values (20)22
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
09732
 
5.5%
132157
18.2%
2409
 
0.2%
392
 
0.1%
438
 
< 0.1%
ValueCountFrequency (%)
871
< 0.1%
821
< 0.1%
801
< 0.1%
461
< 0.1%
451
< 0.1%

V256
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct32
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.8185263653
Minimum0
Maximum87
Zeros9709
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.116980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.064837256
Coefficient of variation (CV)1.300919922
Kurtosis2878.948104
Mean0.8185263653
Median Absolute Deviation (MAD)0
Skewness43.39732617
Sum34771
Variance1.133878381
MonotonicityNot monotonic
2025-10-30T00:20:50.156186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
132018
 
18.1%
09709
 
5.5%
2516
 
0.3%
3108
 
0.1%
454
 
< 0.1%
515
 
< 0.1%
712
 
< 0.1%
118
 
< 0.1%
66
 
< 0.1%
84
 
< 0.1%
Other values (22)30
 
< 0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
09709
 
5.5%
132018
18.1%
2516
 
0.3%
3108
 
0.1%
454
 
< 0.1%
ValueCountFrequency (%)
871
< 0.1%
821
< 0.1%
801
< 0.1%
461
< 0.1%
451
< 0.1%

V257
Real number (ℝ)

Missing 

Distinct41
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.257477542
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.197186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum47
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.37037938
Coefficient of variation (CV)1.089784377
Kurtosis272.4340938
Mean1.257477542
Median Absolute Deviation (MAD)0
Skewness13.6926902
Sum49273
Variance1.877939644
MonotonicityNot monotonic
2025-10-30T00:20:50.241949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
134755
 
19.6%
22899
 
1.6%
3688
 
0.4%
4256
 
0.1%
5150
 
0.1%
691
 
0.1%
772
 
< 0.1%
852
 
< 0.1%
932
 
< 0.1%
1131
 
< 0.1%
Other values (31)158
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
134755
19.6%
22899
 
1.6%
3688
 
0.4%
4256
 
0.1%
5150
 
0.1%
ValueCountFrequency (%)
471
< 0.1%
421
< 0.1%
411
< 0.1%
401
< 0.1%
391
< 0.1%

V258
Real number (ℝ)

Missing 

Distinct55
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.34498775
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.292982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum65
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.988279824
Coefficient of variation (CV)1.478288426
Kurtosis395.5563437
Mean1.34498775
Median Absolute Deviation (MAD)0
Skewness16.89509825
Sum52702
Variance3.953256657
MonotonicityNot monotonic
2025-10-30T00:20:50.346507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133889
 
19.1%
23396
 
1.9%
3828
 
0.5%
4334
 
0.2%
5170
 
0.1%
6109
 
0.1%
785
 
< 0.1%
873
 
< 0.1%
942
 
< 0.1%
1332
 
< 0.1%
Other values (45)226
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
133889
19.1%
23396
 
1.9%
3828
 
0.5%
4334
 
0.2%
5170
 
0.1%
ValueCountFrequency (%)
651
 
< 0.1%
641
 
< 0.1%
632
< 0.1%
621
 
< 0.1%
613
< 0.1%

V259
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct52
Distinct (%)0.1%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.9790018832
Minimum0
Maximum285
Zeros9732
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.396711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum285
Range285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.480979551
Coefficient of variation (CV)2.534192828
Kurtosis6209.278168
Mean0.9790018832
Median Absolute Deviation (MAD)0
Skewness65.4798476
Sum41588
Variance6.155259532
MonotonicityNot monotonic
2025-10-30T00:20:50.445454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129198
 
16.5%
09732
 
5.5%
22416
 
1.4%
3525
 
0.3%
4188
 
0.1%
5123
 
0.1%
658
 
< 0.1%
747
 
< 0.1%
834
 
< 0.1%
925
 
< 0.1%
Other values (42)134
 
0.1%
(Missing)134682
76.0%
ValueCountFrequency (%)
09732
 
5.5%
129198
16.5%
22416
 
1.4%
3525
 
0.3%
4188
 
0.1%
ValueCountFrequency (%)
2851
< 0.1%
2101
< 0.1%
1951
< 0.1%
841
< 0.1%
781
< 0.1%

V260
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.9648325847
Minimum0
Maximum7
Zeros2996
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.487586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3804535413
Coefficient of variation (CV)0.394320784
Kurtosis24.59543044
Mean0.9648325847
Median Absolute Deviation (MAD)0
Skewness1.794577256
Sum37806
Variance0.1447448971
MonotonicityNot monotonic
2025-10-30T00:20:50.522139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
134960
 
19.7%
02996
 
1.7%
2956
 
0.5%
3187
 
0.1%
462
 
< 0.1%
515
 
< 0.1%
66
 
< 0.1%
72
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
02996
 
1.7%
134960
19.7%
2956
 
0.5%
3187
 
0.1%
462
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
66
 
< 0.1%
515
 
< 0.1%
462
 
< 0.1%
3187
0.1%

V261
Real number (ℝ)

Missing  Zeros 

Distinct33
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.110095958
Minimum0
Maximum49
Zeros2810
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.563318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.304407473
Coefficient of variation (CV)1.175040288
Kurtosis564.0637386
Mean1.110095958
Median Absolute Deviation (MAD)0
Skewness19.683673
Sum43498
Variance1.701478857
MonotonicityNot monotonic
2025-10-30T00:20:50.609053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
133247
 
18.8%
02810
 
1.6%
22029
 
1.1%
3507
 
0.3%
4217
 
0.1%
567
 
< 0.1%
767
 
< 0.1%
857
 
< 0.1%
647
 
< 0.1%
946
 
< 0.1%
Other values (23)90
 
0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
02810
 
1.6%
133247
18.8%
22029
 
1.1%
3507
 
0.3%
4217
 
0.1%
ValueCountFrequency (%)
491
 
< 0.1%
472
< 0.1%
464
< 0.1%
432
< 0.1%
413
< 0.1%

V262
Real number (ℝ)

Missing  Zeros 

Distinct20
Distinct (%)0.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.013755615
Minimum0
Maximum19
Zeros2917
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.647976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6130380725
Coefficient of variation (CV)0.6047197803
Kurtosis204.9022923
Mean1.013755615
Median Absolute Deviation (MAD)0
Skewness10.11082233
Sum39723
Variance0.3758156783
MonotonicityNot monotonic
2025-10-30T00:20:50.687078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
134167
 
19.3%
02917
 
1.6%
21501
 
0.8%
3322
 
0.2%
4147
 
0.1%
554
 
< 0.1%
628
 
< 0.1%
79
 
< 0.1%
136
 
< 0.1%
86
 
< 0.1%
Other values (10)27
 
< 0.1%
(Missing)137978
77.9%
ValueCountFrequency (%)
02917
 
1.6%
134167
19.3%
21501
 
0.8%
3322
 
0.2%
4147
 
0.1%
ValueCountFrequency (%)
192
 
< 0.1%
181
 
< 0.1%
171
 
< 0.1%
165
< 0.1%
152
 
< 0.1%

V263
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct4211
Distinct (%)10.7%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean127.2882426
Minimum0
Maximum104060
Zeros29492
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.742510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile300
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1406.227399
Coefficient of variation (CV)11.04758279
Kurtosis1736.622284
Mean127.2882426
Median Absolute Deviation (MAD)0
Skewness32.91335144
Sum4987662.498
Variance1977475.497
MonotonicityNot monotonic
2025-10-30T00:20:50.792776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029492
 
16.6%
100678
 
0.4%
200436
 
0.2%
50412
 
0.2%
150403
 
0.2%
300323
 
0.2%
400167
 
0.1%
25140
 
0.1%
250136
 
0.1%
75133
 
0.1%
Other values (4201)6864
 
3.9%
(Missing)137978
77.9%
ValueCountFrequency (%)
029492
16.6%
0.58300000431
 
< 0.1%
0.87819999462
 
< 0.1%
1.170199991
 
< 0.1%
1.7563999893
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%

V264
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct5289
Distinct (%)13.5%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean205.9648879
Minimum0
Maximum104060
Zeros27090
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.845902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335
95-th percentile400
Maximum104060
Range104060
Interquartile range (IQR)35

Descriptive statistics

Standard deviation2271.042282
Coefficient of variation (CV)11.02635651
Kurtosis674.2751374
Mean205.9648879
Median Absolute Deviation (MAD)0
Skewness23.44828618
Sum8070528.169
Variance5157633.048
MonotonicityNot monotonic
2025-10-30T00:20:50.897030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027090
 
15.3%
100743
 
0.4%
50484
 
0.3%
200484
 
0.3%
150433
 
0.2%
300354
 
0.2%
400204
 
0.1%
25193
 
0.1%
250163
 
0.1%
75163
 
0.1%
Other values (5279)8873
 
5.0%
(Missing)137978
77.9%
ValueCountFrequency (%)
027090
15.3%
0.58300000431
 
< 0.1%
0.73000001911
 
< 0.1%
0.87819999462
 
< 0.1%
1.170199991
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
700251
< 0.1%
697251
< 0.1%
695251
< 0.1%

V265
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct4693
Distinct (%)12.0%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean160.8138417
Minimum0
Maximum104060
Zeros28316
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:50.950501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.17217588
95-th percentile354.6171875
Maximum104060
Range104060
Interquartile range (IQR)21.17217588

Descriptive statistics

Standard deviation1664.007919
Coefficient of variation (CV)10.34741725
Kurtosis1011.750383
Mean160.8138417
Median Absolute Deviation (MAD)0
Skewness25.74156093
Sum6301329.571
Variance2768922.354
MonotonicityNot monotonic
2025-10-30T00:20:51.000472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028316
 
16.0%
100714
 
0.4%
50464
 
0.3%
200455
 
0.3%
150417
 
0.2%
300342
 
0.2%
400187
 
0.1%
25172
 
0.1%
75152
 
0.1%
250152
 
0.1%
Other values (4683)7813
 
4.4%
(Missing)137978
77.9%
ValueCountFrequency (%)
028316
16.0%
0.58300000431
 
< 0.1%
0.87819999462
 
< 0.1%
1.170199991
 
< 0.1%
1.5327999591
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
520301
< 0.1%
512001
< 0.1%
432002
< 0.1%

V266
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1231
Distinct (%)3.1%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean9.186790313
Minimum0
Maximum12500
Zeros36217
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.049494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.75989914
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation140.5884401
Coefficient of variation (CV)15.30332524
Kurtosis4701.104907
Mean9.186790313
Median Absolute Deviation (MAD)0
Skewness60.52875409
Sum359975.1916
Variance19765.10948
MonotonicityNot monotonic
2025-10-30T00:20:51.100693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036217
 
20.4%
50116
 
0.1%
10089
 
0.1%
10661
 
< 0.1%
15054
 
< 0.1%
2550
 
< 0.1%
18146
 
< 0.1%
2038
 
< 0.1%
20035
 
< 0.1%
100029
 
< 0.1%
Other values (1221)2449
 
1.4%
(Missing)137978
77.9%
ValueCountFrequency (%)
036217
20.4%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.8957999941
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
125001
 
< 0.1%
12307.51
 
< 0.1%
110001
 
< 0.1%
96001
 
< 0.1%
40004
< 0.1%

V267
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1919
Distinct (%)4.9%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean34.345068
Minimum0
Maximum26925
Zeros33711
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.153705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile78.00229568
Maximum26925
Range26925
Interquartile range (IQR)0

Descriptive statistics

Standard deviation593.696104
Coefficient of variation (CV)17.28621134
Kurtosis1521.908355
Mean34.345068
Median Absolute Deviation (MAD)0
Skewness37.93202631
Sum1345777.145
Variance352475.0639
MonotonicityNot monotonic
2025-10-30T00:20:51.201654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033711
 
19.0%
50219
 
0.1%
100211
 
0.1%
25116
 
0.1%
1259111
 
0.1%
150109
 
0.1%
200105
 
0.1%
2077
 
< 0.1%
7573
 
< 0.1%
3072
 
< 0.1%
Other values (1909)4380
 
2.5%
(Missing)137978
77.9%
ValueCountFrequency (%)
033711
19.0%
0.29150000211
 
< 0.1%
0.73000001911
 
< 0.1%
1.170199991
 
< 0.1%
1.8957999941
 
< 0.1%
ValueCountFrequency (%)
269251
< 0.1%
264751
< 0.1%
262751
< 0.1%
259252
< 0.1%
256001
< 0.1%

V268
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1543
Distinct (%)3.9%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean18.02044261
Minimum0
Maximum12500
Zeros34961
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.248956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation254.3671302
Coefficient of variation (CV)14.11547628
Kurtosis1410.607671
Mean18.02044261
Median Absolute Deviation (MAD)0
Skewness35.30274362
Sum706113.023
Variance64702.6369
MonotonicityNot monotonic
2025-10-30T00:20:51.297510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034961
 
19.7%
50185
 
0.1%
100147
 
0.1%
619111
 
0.1%
2595
 
0.1%
15084
 
< 0.1%
3069
 
< 0.1%
20064
 
< 0.1%
2063
 
< 0.1%
7550
 
< 0.1%
Other values (1533)3355
 
1.9%
(Missing)137978
77.9%
ValueCountFrequency (%)
034961
19.7%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.8957999941
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
12307.51
< 0.1%
121501
< 0.1%
118751
< 0.1%
117251
< 0.1%

V269
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct94
Distinct (%)0.2%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean6.07525393
Minimum0
Maximum12500
Zeros38523
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.348599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation139.638062
Coefficient of variation (CV)22.98472847
Kurtosis4835.958956
Mean6.07525393
Median Absolute Deviation (MAD)0
Skewness61.82279238
Sum238052.75
Variance19498.78836
MonotonicityNot monotonic
2025-10-30T00:20:51.403188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038523
 
21.7%
10661
 
< 0.1%
10059
 
< 0.1%
18146
 
< 0.1%
5040
 
< 0.1%
15038
 
< 0.1%
20029
 
< 0.1%
100029
 
< 0.1%
2029
 
< 0.1%
1025
 
< 0.1%
Other values (84)305
 
0.2%
(Missing)137978
77.9%
ValueCountFrequency (%)
038523
21.7%
521
 
< 0.1%
61
 
< 0.1%
7.54
 
< 0.1%
83
 
< 0.1%
ValueCountFrequency (%)
125001
 
< 0.1%
12307.51
 
< 0.1%
110001
 
< 0.1%
96001
 
< 0.1%
40004
< 0.1%

V270
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1341
Distinct (%)3.2%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean8.094875997
Minimum0
Maximum4000
Zeros38640
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.450483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37.33959961
Maximum4000
Range4000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.77191801
Coefficient of variation (CV)8.866339402
Kurtosis1481.675695
Mean8.094875997
Median Absolute Deviation (MAD)0
Skewness32.92005585
Sum343870.3324
Variance5151.208214
MonotonicityNot monotonic
2025-10-30T00:20:51.500065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038640
 
21.8%
50201
 
0.1%
100177
 
0.1%
25109
 
0.1%
15090
 
0.1%
20077
 
< 0.1%
1570
 
< 0.1%
2065
 
< 0.1%
1057
 
< 0.1%
3051
 
< 0.1%
Other values (1331)2943
 
1.7%
(Missing)134682
76.0%
ValueCountFrequency (%)
038640
21.8%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.8957999941
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
40004
< 0.1%
33001
 
< 0.1%
3084.251
 
< 0.1%
30004
< 0.1%
2027.251
 
< 0.1%

V271
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1515
Distinct (%)3.6%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean9.806206827
Minimum0
Maximum4000
Zeros38478
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.548685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45.24079895
Maximum4000
Range4000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.50609213
Coefficient of variation (CV)8.005755285
Kurtosis1058.452382
Mean9.806206827
Median Absolute Deviation (MAD)0
Skewness27.00774014
Sum416567.666
Variance6163.206502
MonotonicityNot monotonic
2025-10-30T00:20:51.602660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038478
 
21.7%
50186
 
0.1%
100179
 
0.1%
2599
 
0.1%
15087
 
< 0.1%
20086
 
< 0.1%
7558
 
< 0.1%
2052
 
< 0.1%
1051
 
< 0.1%
3050
 
< 0.1%
Other values (1505)3154
 
1.8%
(Missing)134682
76.0%
ValueCountFrequency (%)
038478
21.7%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.8957999941
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
40004
< 0.1%
33001
 
< 0.1%
3084.251
 
< 0.1%
30004
< 0.1%
2027.251
 
< 0.1%

V272
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1400
Distinct (%)3.3%
Missing134682
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean8.805610626
Minimum0
Maximum4000
Zeros38583
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.651370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40.90940609
Maximum4000
Range4000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74.5062366
Coefficient of variation (CV)8.461223164
Kurtosis1285.285344
Mean8.805610626
Median Absolute Deviation (MAD)0
Skewness30.21740885
Sum374062.3394
Variance5551.179292
MonotonicityNot monotonic
2025-10-30T00:20:51.701286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038583
 
21.8%
50197
 
0.1%
100196
 
0.1%
25103
 
0.1%
20089
 
0.1%
15087
 
< 0.1%
1057
 
< 0.1%
2057
 
< 0.1%
7554
 
< 0.1%
3049
 
< 0.1%
Other values (1390)3008
 
1.7%
(Missing)134682
76.0%
ValueCountFrequency (%)
038583
21.8%
0.29150000211
 
< 0.1%
1.170199991
 
< 0.1%
1.8957999941
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
40004
< 0.1%
33001
 
< 0.1%
3084.251
 
< 0.1%
30004
< 0.1%
2027.251
 
< 0.1%

V273
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2859
Distinct (%)7.3%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean80.29385871
Minimum0
Maximum29785
Zeros33822
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.749353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile159.9738838
Maximum29785
Range29785
Interquartile range (IQR)0

Descriptive statistics

Standard deviation979.3047785
Coefficient of variation (CV)12.1965091
Kurtosis510.0067874
Mean80.29385871
Median Absolute Deviation (MAD)0
Skewness21.43899302
Sum3146234.56
Variance959037.8492
MonotonicityNot monotonic
2025-10-30T00:20:51.800313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033822
 
19.1%
100314
 
0.2%
150212
 
0.1%
200205
 
0.1%
50175
 
0.1%
300164
 
0.1%
7567
 
< 0.1%
40065
 
< 0.1%
2564
 
< 0.1%
60059
 
< 0.1%
Other values (2849)4037
 
2.3%
(Missing)137978
77.9%
ValueCountFrequency (%)
033822
19.1%
0.29150000211
 
< 0.1%
0.87819999462
 
< 0.1%
1.7563999893
 
< 0.1%
2.0011999611
 
< 0.1%
ValueCountFrequency (%)
297851
< 0.1%
296751
< 0.1%
296671
< 0.1%
291171
< 0.1%
291051
< 0.1%

V274
Real number (ℝ)

Missing  Zeros 

Distinct3280
Distinct (%)8.4%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean111.3485426
Minimum0
Maximum32864
Zeros33122
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.847283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile201.4733719
Maximum32864
Range32864
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1255.425041
Coefficient of variation (CV)11.27473258
Kurtosis377.6346881
Mean111.3485426
Median Absolute Deviation (MAD)0
Skewness18.65757344
Sum4363081.292
Variance1576092.033
MonotonicityNot monotonic
2025-10-30T00:20:51.897373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033122
 
18.7%
100304
 
0.2%
200226
 
0.1%
150223
 
0.1%
300186
 
0.1%
50182
 
0.1%
40081
 
< 0.1%
2571
 
< 0.1%
7570
 
< 0.1%
60070
 
< 0.1%
Other values (3270)4649
 
2.6%
(Missing)137978
77.9%
ValueCountFrequency (%)
033122
18.7%
0.29150000211
 
< 0.1%
0.87819999462
 
< 0.1%
1.5327999591
 
< 0.1%
1.7563999893
 
< 0.1%
ValueCountFrequency (%)
328641
< 0.1%
324401
< 0.1%
323341
< 0.1%
321221
< 0.1%
320161
< 0.1%

V275
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct3059
Distinct (%)7.8%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean94.37566273
Minimum0
Maximum32439
Zeros33483
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:51.944869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum32439
Range32439
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1096.035511
Coefficient of variation (CV)11.61353976
Kurtosis459.710411
Mean94.37566273
Median Absolute Deviation (MAD)0
Skewness20.33991956
Sum3698015.968
Variance1201293.842
MonotonicityNot monotonic
2025-10-30T00:20:52.083600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033483
 
18.9%
100306
 
0.2%
200218
 
0.1%
150213
 
0.1%
300182
 
0.1%
50175
 
0.1%
40076
 
< 0.1%
7569
 
< 0.1%
60066
 
< 0.1%
2564
 
< 0.1%
Other values (3049)4332
 
2.4%
(Missing)137978
77.9%
ValueCountFrequency (%)
033483
18.9%
0.29150000211
 
< 0.1%
0.87819999462
 
< 0.1%
1.5327999591
 
< 0.1%
1.7563999893
 
< 0.1%
ValueCountFrequency (%)
324391
< 0.1%
320151
< 0.1%
319091
< 0.1%
316971
< 0.1%
315911
< 0.1%

V276
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1056
Distinct (%)2.7%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean35.91114497
Minimum0
Maximum104060
Zeros35389
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.131824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation882.8768213
Coefficient of variation (CV)24.58503682
Kurtosis10148.72496
Mean35.91114497
Median Absolute Deviation (MAD)0
Skewness94.57862983
Sum1407142.305
Variance779471.4815
MonotonicityNot monotonic
2025-10-30T00:20:52.179691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035389
 
20.0%
100392
 
0.2%
200261
 
0.1%
150209
 
0.1%
50201
 
0.1%
300182
 
0.1%
25098
 
0.1%
40095
 
0.1%
50093
 
0.1%
60072
 
< 0.1%
Other values (1046)2192
 
1.2%
(Missing)137978
77.9%
ValueCountFrequency (%)
035389
20.0%
1.3085999494
 
< 0.1%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
3.0125000481
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%

V277
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1248
Distinct (%)3.2%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean55.5781456
Minimum0
Maximum104060
Zeros34725
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.227158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile114.067696
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation959.3128934
Coefficient of variation (CV)17.26061356
Kurtosis7292.954605
Mean55.5781456
Median Absolute Deviation (MAD)0
Skewness75.25375356
Sum2177774.057
Variance920281.2275
MonotonicityNot monotonic
2025-10-30T00:20:52.278325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034725
 
19.6%
100419
 
0.2%
200280
 
0.2%
50231
 
0.1%
150213
 
0.1%
300187
 
0.1%
400110
 
0.1%
250100
 
0.1%
50099
 
0.1%
60079
 
< 0.1%
Other values (1238)2741
 
1.5%
(Missing)137978
77.9%
ValueCountFrequency (%)
034725
19.6%
1.3085999494
 
< 0.1%
1.509999991
 
< 0.1%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%

V278
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1152
Distinct (%)2.9%
Missing137978
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean45.87272624
Minimum0
Maximum104060
Zeros35075
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.326815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation906.9092091
Coefficient of variation (CV)19.77011796
Kurtosis9112.831422
Mean45.87272624
Median Absolute Deviation (MAD)0
Skewness87.51488033
Sum1797476.905
Variance822484.3136
MonotonicityNot monotonic
2025-10-30T00:20:52.377892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035075
 
19.8%
100403
 
0.2%
200271
 
0.2%
50215
 
0.1%
150210
 
0.1%
300189
 
0.1%
400102
 
0.1%
25099
 
0.1%
50097
 
0.1%
60076
 
< 0.1%
Other values (1142)2447
 
1.4%
(Missing)137978
77.9%
ValueCountFrequency (%)
035075
19.8%
1.3085999494
 
< 0.1%
2.1517999171
 
< 0.1%
2.2960000041
 
< 0.1%
3.0125000481
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%

V279
Real number (ℝ)

Skewed  Zeros 

Distinct380
Distinct (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.156193024
Minimum0
Maximum874
Zeros147375
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.426744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum874
Range874
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.59718512
Coefficient of variation (CV)18.67956705
Kurtosis971.6019286
Mean1.156193024
Median Absolute Deviation (MAD)0
Skewness29.93984532
Sum204830
Variance466.4384052
MonotonicityNot monotonic
2025-10-30T00:20:52.479721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0147375
83.2%
118366
 
10.4%
25660
 
3.2%
32440
 
1.4%
41199
 
0.7%
5624
 
0.4%
6378
 
0.2%
7210
 
0.1%
8160
 
0.1%
9103
 
0.1%
Other values (370)644
 
0.4%
ValueCountFrequency (%)
0147375
83.2%
118366
 
10.4%
25660
 
3.2%
32440
 
1.4%
41199
 
0.7%
ValueCountFrequency (%)
8741
< 0.1%
8721
< 0.1%
8711
< 0.1%
8651
< 0.1%
8621
< 0.1%

V280
Real number (ℝ)

Skewed  Zeros 

Distinct450
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.015246191
Minimum0
Maximum973
Zeros126341
Zeros (%)71.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.527896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum973
Range973
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.49045734
Coefficient of variation (CV)14.13745748
Kurtosis661.8467376
Mean2.015246191
Median Absolute Deviation (MAD)0
Skewness24.6709925
Sum357019
Variance811.7061596
MonotonicityNot monotonic
2025-10-30T00:20:52.577791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0126341
71.3%
127425
 
15.5%
29949
 
5.6%
34617
 
2.6%
42543
 
1.4%
51576
 
0.9%
61044
 
0.6%
7696
 
0.4%
8488
 
0.3%
9389
 
0.2%
Other values (440)2091
 
1.2%
ValueCountFrequency (%)
0126341
71.3%
127425
 
15.5%
29949
 
5.6%
34617
 
2.6%
42543
 
1.4%
ValueCountFrequency (%)
9731
< 0.1%
9711
< 0.1%
9621
< 0.1%
9601
< 0.1%
9591
< 0.1%

V281
Real number (ℝ)

Zeros 

Distinct17
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.08848736501
Minimum0
Maximum21
Zeros168355
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.617613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5175752572
Coefficient of variation (CV)5.849143063
Kurtosis146.7457487
Mean0.08848736501
Median Absolute Deviation (MAD)0
Skewness9.938131343
Sum15642
Variance0.2678841468
MonotonicityNot monotonic
2025-10-30T00:20:52.652347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0168355
95.0%
15026
 
2.8%
21718
 
1.0%
3755
 
0.4%
4453
 
0.3%
5176
 
0.1%
6104
 
0.1%
769
 
< 0.1%
833
 
< 0.1%
933
 
< 0.1%
Other values (7)49
 
< 0.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0168355
95.0%
15026
 
2.8%
21718
 
1.0%
3755
 
0.4%
4453
 
0.3%
ValueCountFrequency (%)
211
 
< 0.1%
152
 
< 0.1%
142
 
< 0.1%
136
< 0.1%
126
< 0.1%

V282
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.8175436016
Minimum0
Maximum28
Zeros63989
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.686812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9291171415
Coefficient of variation (CV)1.136474115
Kurtosis41.43938502
Mean0.8175436016
Median Absolute Deviation (MAD)0
Skewness3.917972673
Sum144518
Variance0.8632586626
MonotonicityNot monotonic
2025-10-30T00:20:52.727767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
194705
53.5%
063989
36.1%
211358
 
6.4%
33645
 
2.1%
41477
 
0.8%
5775
 
0.4%
6323
 
0.2%
7194
 
0.1%
884
 
< 0.1%
982
 
< 0.1%
Other values (14)139
 
0.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
063989
36.1%
194705
53.5%
211358
 
6.4%
33645
 
2.1%
41477
 
0.8%
ValueCountFrequency (%)
281
< 0.1%
271
< 0.1%
261
< 0.1%
251
< 0.1%
231
< 0.1%

V283
Real number (ℝ)

Zeros 

Distinct48
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.9951123205
Minimum0
Maximum68
Zeros63590
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.772121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.582016548
Coefficient of variation (CV)1.589786917
Kurtosis367.3342088
Mean0.9951123205
Median Absolute Deviation (MAD)1
Skewness12.23941558
Sum175907
Variance2.502776359
MonotonicityNot monotonic
2025-10-30T00:20:52.821879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
185056
48.0%
063590
35.9%
215636
 
8.8%
35750
 
3.2%
42670
 
1.5%
51473
 
0.8%
6819
 
0.5%
7524
 
0.3%
8341
 
0.2%
9196
 
0.1%
Other values (38)716
 
0.4%
(Missing)391
 
0.2%
ValueCountFrequency (%)
063590
35.9%
185056
48.0%
215636
 
8.8%
35750
 
3.2%
42670
 
1.5%
ValueCountFrequency (%)
6814
< 0.1%
661
 
< 0.1%
612
 
< 0.1%
511
 
< 0.1%
491
 
< 0.1%

V284
Real number (ℝ)

Zeros 

Distinct11
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.09004905198
Minimum0
Maximum11
Zeros163458
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.861423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3412840861
Coefficient of variation (CV)3.789979778
Kurtosis45.59328717
Mean0.09004905198
Median Absolute Deviation (MAD)0
Skewness5.201736899
Sum15953
Variance0.1164748274
MonotonicityNot monotonic
2025-10-30T00:20:52.895820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0163458
92.3%
111974
 
6.8%
21356
 
0.8%
3282
 
0.2%
456
 
< 0.1%
516
 
< 0.1%
611
 
< 0.1%
83
 
< 0.1%
111
 
< 0.1%
91
 
< 0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
0163458
92.3%
111974
 
6.8%
21356
 
0.8%
3282
 
0.2%
456
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
91
 
< 0.1%
83
 
< 0.1%
71
 
< 0.1%
611
< 0.1%

V285
Real number (ℝ)

Zeros 

Distinct92
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.176259744
Minimum0
Maximum94
Zeros106063
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:52.944330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum94
Range94
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.290130567
Coefficient of variation (CV)2.797112274
Kurtosis250.4527371
Mean1.176259744
Median Absolute Deviation (MAD)0
Skewness12.29826069
Sum208385
Variance10.82495915
MonotonicityNot monotonic
2025-10-30T00:20:52.994831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0106063
59.9%
131878
 
18.0%
215170
 
8.6%
38206
 
4.6%
45300
 
3.0%
53024
 
1.7%
61987
 
1.1%
71334
 
0.8%
8947
 
0.5%
9707
 
0.4%
Other values (82)2543
 
1.4%
ValueCountFrequency (%)
0106063
59.9%
131878
 
18.0%
215170
 
8.6%
38206
 
4.6%
45300
 
3.0%
ValueCountFrequency (%)
944
< 0.1%
933
< 0.1%
925
< 0.1%
912
 
< 0.1%
907
< 0.1%

V286
Real number (ℝ)

Zeros 

Distinct8
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.03155357617
Minimum0
Maximum8
Zeros171978
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.032006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1906556081
Coefficient of variation (CV)6.042282088
Kurtosis81.44951035
Mean0.03155357617
Median Absolute Deviation (MAD)0
Skewness7.345930602
Sum5590
Variance0.0363495609
MonotonicityNot monotonic
2025-10-30T00:20:53.066102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0171978
97.1%
14845
 
2.7%
2279
 
0.2%
349
 
< 0.1%
44
 
< 0.1%
52
 
< 0.1%
81
 
< 0.1%
61
 
< 0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
0171978
97.1%
14845
 
2.7%
2279
 
0.2%
349
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
61
 
< 0.1%
52
 
< 0.1%
44
 
< 0.1%
349
< 0.1%

V287
Real number (ℝ)

Zeros 

Distinct32
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.3630015974
Minimum0
Maximum31
Zeros139724
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.104006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.088422778
Coefficient of variation (CV)2.998396661
Kurtosis140.9794047
Mean0.3630015974
Median Absolute Deviation (MAD)0
Skewness8.871142818
Sum64309
Variance1.184664143
MonotonicityNot monotonic
2025-10-30T00:20:53.150977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0139724
78.9%
125182
 
14.2%
26781
 
3.8%
32665
 
1.5%
41539
 
0.9%
9322
 
0.2%
5286
 
0.2%
7206
 
0.1%
6139
 
0.1%
849
 
< 0.1%
Other values (22)266
 
0.2%
ValueCountFrequency (%)
0139724
78.9%
125182
 
14.2%
26781
 
3.8%
32665
 
1.5%
41539
 
0.9%
ValueCountFrequency (%)
315
< 0.1%
305
< 0.1%
291
 
< 0.1%
281
 
< 0.1%
271
 
< 0.1%

V288
Real number (ℝ)

Zeros 

Distinct9
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1854546277
Minimum0
Maximum8
Zeros146727
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.186293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4322337914
Coefficient of variation (CV)2.330671371
Kurtosis8.300471904
Mean0.1854546277
Median Absolute Deviation (MAD)0
Skewness2.499108215
Sum32783
Variance0.1868260505
MonotonicityNot monotonic
2025-10-30T00:20:53.220463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0146727
82.8%
127636
 
15.6%
22130
 
1.2%
3249
 
0.1%
414
 
< 0.1%
510
 
< 0.1%
72
 
< 0.1%
62
 
< 0.1%
81
 
< 0.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0146727
82.8%
127636
 
15.6%
22130
 
1.2%
3249
 
0.1%
414
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
72
 
< 0.1%
62
 
< 0.1%
510
< 0.1%
414
< 0.1%

V289
Real number (ℝ)

Zeros 

Distinct10
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.2373353095
Minimum0
Maximum9
Zeros145977
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.253452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6001868165
Coefficient of variation (CV)2.528855979
Kurtosis16.87451608
Mean0.2373353095
Median Absolute Deviation (MAD)0
Skewness3.4328857
Sum41954
Variance0.3602242147
MonotonicityNot monotonic
2025-10-30T00:20:53.284985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0145977
82.4%
122845
 
12.9%
25713
 
3.2%
31538
 
0.9%
4546
 
0.3%
591
 
0.1%
621
 
< 0.1%
720
 
< 0.1%
816
 
< 0.1%
94
 
< 0.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0145977
82.4%
122845
 
12.9%
25713
 
3.2%
31538
 
0.9%
4546
 
0.3%
ValueCountFrequency (%)
94
 
< 0.1%
816
 
< 0.1%
720
 
< 0.1%
621
 
< 0.1%
591
0.1%

V290
Real number (ℝ)

Skewed 

Distinct47
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.104330009
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.330387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum66
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7736263781
Coefficient of variation (CV)0.7005391251
Kurtosis1849.562063
Mean1.104330009
Median Absolute Deviation (MAD)0
Skewness35.10621307
Sum195642
Variance0.5984977729
MonotonicityNot monotonic
2025-10-30T00:20:53.380345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1165318
93.3%
29333
 
5.3%
31453
 
0.8%
4495
 
0.3%
5223
 
0.1%
6105
 
0.1%
775
 
< 0.1%
833
 
< 0.1%
921
 
< 0.1%
1010
 
< 0.1%
Other values (37)93
 
0.1%
ValueCountFrequency (%)
1165318
93.3%
29333
 
5.3%
31453
 
0.8%
4495
 
0.3%
5223
 
0.1%
ValueCountFrequency (%)
661
< 0.1%
602
< 0.1%
541
< 0.1%
472
< 0.1%
451
< 0.1%

V291
Real number (ℝ)

Skewed 

Distinct104
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.651414831
Minimum1
Maximum1044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.434041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum1044
Range1043
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.02602799
Coefficient of variation (CV)9.704422951
Kurtosis2691.927223
Mean1.651414831
Median Absolute Deviation (MAD)0
Skewness51.28536935
Sum292563
Variance256.833573
MonotonicityNot monotonic
2025-10-30T00:20:53.484779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1138522
78.2%
228058
 
15.8%
36375
 
3.6%
42155
 
1.2%
5929
 
0.5%
6395
 
0.2%
7235
 
0.1%
8122
 
0.1%
967
 
< 0.1%
1049
 
< 0.1%
Other values (94)252
 
0.1%
ValueCountFrequency (%)
1138522
78.2%
228058
 
15.8%
36375
 
3.6%
42155
 
1.2%
5929
 
0.5%
ValueCountFrequency (%)
10441
< 0.1%
10431
< 0.1%
10401
< 0.1%
10381
< 0.1%
10351
< 0.1%

V292
Real number (ℝ)

Skewed 

Distinct84
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.239079019
Minimum1
Maximum323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.537055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum323
Range322
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.671274386
Coefficient of variation (CV)2.962905778
Kurtosis3017.56123
Mean1.239079019
Median Absolute Deviation (MAD)0
Skewness52.41324973
Sum219514
Variance13.47825561
MonotonicityNot monotonic
2025-10-30T00:20:53.588226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1156336
88.2%
216032
 
9.0%
32896
 
1.6%
4947
 
0.5%
5391
 
0.2%
6166
 
0.1%
7116
 
0.1%
864
 
< 0.1%
942
 
< 0.1%
1030
 
< 0.1%
Other values (74)139
 
0.1%
ValueCountFrequency (%)
1156336
88.2%
216032
 
9.0%
32896
 
1.6%
4947
 
0.5%
5391
 
0.2%
ValueCountFrequency (%)
3231
< 0.1%
3091
< 0.1%
2741
< 0.1%
2731
< 0.1%
2431
< 0.1%

V293
Real number (ℝ)

Skewed  Zeros 

Distinct369
Distinct (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9738088384
Minimum0
Maximum863
Zeros163751
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.637664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum863
Range863
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.16040834
Coefficient of variation (CV)21.72952997
Kurtosis991.6085038
Mean0.9738088384
Median Absolute Deviation (MAD)0
Skewness30.27462065
Sum172519
Variance447.762881
MonotonicityNot monotonic
2025-10-30T00:20:53.686612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0163751
92.4%
17460
 
4.2%
22678
 
1.5%
31254
 
0.7%
4630
 
0.4%
5343
 
0.2%
6193
 
0.1%
7140
 
0.1%
892
 
0.1%
950
 
< 0.1%
Other values (359)568
 
0.3%
ValueCountFrequency (%)
0163751
92.4%
17460
 
4.2%
22678
 
1.5%
31254
 
0.7%
4630
 
0.4%
ValueCountFrequency (%)
8631
< 0.1%
8611
< 0.1%
8601
< 0.1%
8541
< 0.1%
8511
< 0.1%

V294
Real number (ℝ)

Skewed  Zeros 

Distinct514
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.355409547
Minimum0
Maximum1286
Zeros155682
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.734712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1286
Range1286
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.1671265
Coefficient of variation (CV)17.05313904
Kurtosis608.2475084
Mean2.355409547
Median Absolute Deviation (MAD)0
Skewness23.84926124
Sum417282
Variance1613.398051
MonotonicityNot monotonic
2025-10-30T00:20:53.790655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0155682
87.9%
19010
 
5.1%
24122
 
2.3%
32240
 
1.3%
41327
 
0.7%
5820
 
0.5%
6613
 
0.3%
7451
 
0.3%
8342
 
0.2%
9255
 
0.1%
Other values (504)2297
 
1.3%
ValueCountFrequency (%)
0155682
87.9%
19010
 
5.1%
24122
 
2.3%
32240
 
1.3%
41327
 
0.7%
ValueCountFrequency (%)
12868
< 0.1%
12791
 
< 0.1%
12771
 
< 0.1%
12681
 
< 0.1%
12661
 
< 0.1%

V295
Real number (ℝ)

Skewed  Zeros 

Distinct426
Distinct (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.47430839
Minimum0
Maximum926
Zeros160275
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.841910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum926
Range926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.59175816
Coefficient of variation (CV)18.03676785
Kurtosis694.8318209
Mean1.47430839
Median Absolute Deviation (MAD)0
Skewness25.24705204
Sum261187
Variance707.1216023
MonotonicityNot monotonic
2025-10-30T00:20:53.892134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160275
90.5%
17977
 
4.5%
23342
 
1.9%
31731
 
1.0%
4925
 
0.5%
5619
 
0.3%
6413
 
0.2%
7281
 
0.2%
8202
 
0.1%
9164
 
0.1%
Other values (416)1230
 
0.7%
ValueCountFrequency (%)
0160275
90.5%
17977
 
4.5%
23342
 
1.9%
31731
 
1.0%
4925
 
0.5%
ValueCountFrequency (%)
9261
< 0.1%
9241
< 0.1%
9151
< 0.1%
9131
< 0.1%
9121
< 0.1%

V296
Real number (ℝ)

Zeros 

Distinct72
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.3321698695
Minimum0
Maximum90
Zeros160956
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:53.943643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.27944225
Coefficient of variation (CV)9.87278664
Kurtosis386.6996078
Mean0.3321698695
Median Absolute Deviation (MAD)0
Skewness18.77510613
Sum58718
Variance10.75474147
MonotonicityNot monotonic
2025-10-30T00:20:53.998550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160956
90.9%
19774
 
5.5%
23001
 
1.7%
31060
 
0.6%
4472
 
0.3%
5267
 
0.2%
71259
 
0.1%
6191
 
0.1%
7105
 
0.1%
33101
 
0.1%
Other values (62)585
 
0.3%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0160956
90.9%
19774
 
5.5%
23001
 
1.7%
31060
 
0.6%
4472
 
0.3%
ValueCountFrequency (%)
901
 
< 0.1%
891
 
< 0.1%
883
< 0.1%
851
 
< 0.1%
841
 
< 0.1%

V297
Real number (ℝ)

Zeros 

Distinct13
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.08949023194
Minimum0
Maximum12
Zeros168816
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.038163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6339087385
Coefficient of variation (CV)7.083552302
Kurtosis209.7718534
Mean0.08949023194
Median Absolute Deviation (MAD)0
Skewness13.2458027
Sum15854
Variance0.4018402887
MonotonicityNot monotonic
2025-10-30T00:20:54.075582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0168816
95.3%
15856
 
3.3%
21339
 
0.8%
3437
 
0.2%
11400
 
0.2%
4151
 
0.1%
562
 
< 0.1%
644
 
< 0.1%
726
 
< 0.1%
911
 
< 0.1%
Other values (3)17
 
< 0.1%
ValueCountFrequency (%)
0168816
95.3%
15856
 
3.3%
21339
 
0.8%
3437
 
0.2%
4151
 
0.1%
ValueCountFrequency (%)
121
 
< 0.1%
11400
0.2%
105
 
< 0.1%
911
 
< 0.1%
811
 
< 0.1%

V298
Real number (ℝ)

Zeros 

Distinct66
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.3027619257
Minimum0
Maximum90
Zeros162819
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.119200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.194724791
Coefficient of variation (CV)10.55193708
Kurtosis421.3275281
Mean0.3027619257
Median Absolute Deviation (MAD)0
Skewness19.68626045
Sum53637
Variance10.20626649
MonotonicityNot monotonic
2025-10-30T00:20:54.171744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0162819
91.9%
18977
 
5.1%
22662
 
1.5%
3961
 
0.5%
4418
 
0.2%
71259
 
0.1%
5251
 
0.1%
6144
 
0.1%
3398
 
0.1%
797
 
0.1%
Other values (56)473
 
0.3%
ValueCountFrequency (%)
0162819
91.9%
18977
 
5.1%
22662
 
1.5%
3961
 
0.5%
4418
 
0.2%
ValueCountFrequency (%)
901
 
< 0.1%
891
 
< 0.1%
883
< 0.1%
851
 
< 0.1%
841
 
< 0.1%

V299
Real number (ℝ)

Zeros 

Distinct44
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1745437714
Minimum0
Maximum49
Zeros166661
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.218414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.746762415
Coefficient of variation (CV)10.0075895
Kurtosis363.4537801
Mean0.1745437714
Median Absolute Deviation (MAD)0
Skewness18.34050797
Sum30922
Variance3.051178933
MonotonicityNot monotonic
2025-10-30T00:20:54.266021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0166661
94.1%
17001
 
4.0%
21826
 
1.0%
3628
 
0.4%
4246
 
0.1%
38138
 
0.1%
34133
 
0.1%
5102
 
0.1%
27100
 
0.1%
675
 
< 0.1%
Other values (34)249
 
0.1%
ValueCountFrequency (%)
0166661
94.1%
17001
 
4.0%
21826
 
1.0%
3628
 
0.4%
4246
 
0.1%
ValueCountFrequency (%)
492
< 0.1%
471
< 0.1%
461
< 0.1%
442
< 0.1%
432
< 0.1%

V300
Real number (ℝ)

Zeros 

Distinct11
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.04581068162
Minimum0
Maximum11
Zeros170825
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.303612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2953987537
Coefficient of variation (CV)6.448250568
Kurtosis246.4529215
Mean0.04581068162
Median Absolute Deviation (MAD)0
Skewness11.72551914
Sum8098
Variance0.08726042372
MonotonicityNot monotonic
2025-10-30T00:20:54.339368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0170825
96.4%
14573
 
2.6%
2951
 
0.5%
3265
 
0.1%
485
 
< 0.1%
529
 
< 0.1%
619
 
< 0.1%
1114
 
< 0.1%
77
 
< 0.1%
82
 
< 0.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0170825
96.4%
14573
 
2.6%
2951
 
0.5%
3265
 
0.1%
485
 
< 0.1%
ValueCountFrequency (%)
1114
< 0.1%
101
 
< 0.1%
82
 
< 0.1%
77
 
< 0.1%
619
< 0.1%

V301
Real number (ℝ)

Zeros 

Distinct12
Distinct (%)< 0.1%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.05218616176
Minimum0
Maximum13
Zeros170217
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.373357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3236591319
Coefficient of variation (CV)6.202010668
Kurtosis218.6595749
Mean0.05218616176
Median Absolute Deviation (MAD)0
Skewness11.21862783
Sum9225
Variance0.1047552337
MonotonicityNot monotonic
2025-10-30T00:20:54.414835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0170217
96.1%
14894
 
2.8%
21127
 
0.6%
3329
 
0.2%
494
 
0.1%
549
 
< 0.1%
633
 
< 0.1%
1115
 
< 0.1%
77
 
< 0.1%
83
 
< 0.1%
Other values (2)3
 
< 0.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0170217
96.1%
14894
 
2.8%
21127
 
0.6%
3329
 
0.2%
494
 
0.1%
ValueCountFrequency (%)
131
 
< 0.1%
1115
< 0.1%
102
 
< 0.1%
83
 
< 0.1%
77
< 0.1%

V302
Real number (ℝ)

Zeros 

Distinct13
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.251954459
Minimum0
Maximum15
Zeros135049
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.449456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4817054122
Coefficient of variation (CV)1.911874924
Kurtosis26.52179395
Mean0.251954459
Median Absolute Deviation (MAD)0
Skewness2.72021398
Sum44636
Variance0.2320401041
MonotonicityNot monotonic
2025-10-30T00:20:54.485326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0135049
76.2%
140193
 
22.7%
21590
 
0.9%
3205
 
0.1%
457
 
< 0.1%
530
 
< 0.1%
616
 
< 0.1%
86
 
< 0.1%
75
 
< 0.1%
93
 
< 0.1%
Other values (3)5
 
< 0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
0135049
76.2%
140193
 
22.7%
21590
 
0.9%
3205
 
0.1%
457
 
< 0.1%
ValueCountFrequency (%)
152
 
< 0.1%
141
 
< 0.1%
102
 
< 0.1%
93
< 0.1%
86
< 0.1%

V303
Real number (ℝ)

Zeros 

Distinct19
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2836604406
Minimum0
Maximum20
Zeros134825
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.522156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6233897256
Coefficient of variation (CV)2.197661839
Kurtosis63.1260638
Mean0.2836604406
Median Absolute Deviation (MAD)0
Skewness5.100028039
Sum50253
Variance0.38861475
MonotonicityNot monotonic
2025-10-30T00:20:54.561300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0134825
76.1%
137992
 
21.4%
22764
 
1.6%
3741
 
0.4%
5416
 
0.2%
4232
 
0.1%
671
 
< 0.1%
737
 
< 0.1%
831
 
< 0.1%
919
 
< 0.1%
Other values (9)31
 
< 0.1%
ValueCountFrequency (%)
0134825
76.1%
137992
 
21.4%
22764
 
1.6%
3741
 
0.4%
4232
 
0.1%
ValueCountFrequency (%)
202
< 0.1%
191
 
< 0.1%
161
 
< 0.1%
154
< 0.1%
144
< 0.1%

V304
Real number (ℝ)

Zeros 

Distinct13
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2643952608
Minimum0
Maximum15
Zeros134934
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.597222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5270311241
Coefficient of variation (CV)1.993345579
Kurtosis26.53476035
Mean0.2643952608
Median Absolute Deviation (MAD)0
Skewness3.163094939
Sum46840
Variance0.2777618058
MonotonicityNot monotonic
2025-10-30T00:20:54.637261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0134934
76.2%
139133
 
22.1%
22202
 
1.2%
3507
 
0.3%
4276
 
0.2%
543
 
< 0.1%
631
 
< 0.1%
715
 
< 0.1%
89
 
< 0.1%
94
 
< 0.1%
Other values (3)5
 
< 0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
0134934
76.2%
139133
 
22.1%
22202
 
1.2%
3507
 
0.3%
4276
 
0.2%
ValueCountFrequency (%)
152
 
< 0.1%
141
 
< 0.1%
102
 
< 0.1%
94
< 0.1%
89
< 0.1%

V305
Real number (ℝ)

Skewed 

Distinct2
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.000011289
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.669215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.003359944951
Coefficient of variation (CV)0.00335990702
Kurtosis88576.99995
Mean1.000011289
Median Absolute Deviation (MAD)0
Skewness297.6205638
Sum177161
Variance1.128923007 × 10-5
MonotonicityNot monotonic
2025-10-30T00:20:54.700000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1177157
> 99.9%
22
 
< 0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
1177157
> 99.9%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
1177157
> 99.9%

V306
Real number (ℝ)

Skewed  Zeros 

Distinct7029
Distinct (%)4.0%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean143.7204042
Minimum0
Maximum104060
Zeros147375
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.742495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile226
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2420.872095
Coefficient of variation (CV)16.84431732
Kurtosis913.3823249
Mean143.7204042
Median Absolute Deviation (MAD)0
Skewness28.93693246
Sum25461363.09
Variance5860621.699
MonotonicityNot monotonic
2025-10-30T00:20:54.792567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0147375
83.2%
591187
 
0.7%
1171168
 
0.7%
100668
 
0.4%
49640
 
0.4%
226487
 
0.3%
57.95000076475
 
0.3%
107.9499969473
 
0.3%
50434
 
0.2%
200429
 
0.2%
Other values (7019)23823
 
13.4%
ValueCountFrequency (%)
0147375
83.2%
0.4668999911
 
< 0.1%
0.58300000431
 
< 0.1%
0.92860001331
 
< 0.1%
1.170199991
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
942651
< 0.1%
940531
< 0.1%
939471
< 0.1%

V307
Real number (ℝ)

Skewed  Zeros 

Distinct17312
Distinct (%)9.8%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean413.3267241
Minimum0
Maximum145512
Zeros94536
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.843084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3154
95-th percentile938
Maximum145512
Range145512
Interquartile range (IQR)154

Descriptive statistics

Standard deviation4469.313574
Coefficient of variation (CV)10.81302832
Kurtosis617.9064677
Mean413.3267241
Median Absolute Deviation (MAD)0
Skewness23.66748211
Sum73224549.12
Variance19974763.82
MonotonicityNot monotonic
2025-10-30T00:20:54.892454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
094536
53.4%
107.94999691937
 
1.1%
57.950000761736
 
1.0%
591662
 
0.9%
1171556
 
0.9%
100976
 
0.6%
49841
 
0.5%
50686
 
0.4%
47.95000076671
 
0.4%
226663
 
0.4%
Other values (17302)71895
40.6%
ValueCountFrequency (%)
094536
53.4%
0.58300000431
 
< 0.1%
0.76959997421
 
< 0.1%
0.81459999081
 
< 0.1%
0.92860001331
 
< 0.1%
ValueCountFrequency (%)
1455121
< 0.1%
1454061
< 0.1%
1453191
< 0.1%
1453001
< 0.1%
1452091
< 0.1%

V308
Real number (ℝ)

Skewed  Zeros 

Distinct10411
Distinct (%)5.9%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean235.2220435
Minimum0
Maximum104060
Zeros126341
Zeros (%)71.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:54.943533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q339
95-th percentile454.05
Maximum104060
Range104060
Interquartile range (IQR)39

Descriptive statistics

Standard deviation3096.221393
Coefficient of variation (CV)13.16297294
Kurtosis651.2834187
Mean235.2220435
Median Absolute Deviation (MAD)0
Skewness24.41355332
Sum41671702.01
Variance9586586.915
MonotonicityNot monotonic
2025-10-30T00:20:54.994556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0126341
71.3%
591786
 
1.0%
1171702
 
1.0%
57.950000761171
 
0.7%
107.9499969989
 
0.6%
49872
 
0.5%
100755
 
0.4%
226699
 
0.4%
39578
 
0.3%
50555
 
0.3%
Other values (10401)41711
 
23.5%
ValueCountFrequency (%)
0126341
71.3%
0.4668999911
 
< 0.1%
0.58300000431
 
< 0.1%
0.92860001331
 
< 0.1%
1.1648999451
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1033281
< 0.1%
1032161
< 0.1%
1027121
< 0.1%
1026001
< 0.1%

V309
Real number (ℝ)

Skewed  Zeros 

Distinct2356
Distinct (%)1.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.08708016
Minimum0
Maximum12500
Zeros163458
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.045884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile57.95000076
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.72528625
Coefficient of variation (CV)7.912388563
Kurtosis6106.787894
Mean11.08708016
Median Absolute Deviation (MAD)0
Skewness52.92965334
Sum1964176.034
Variance7695.725847
MonotonicityNot monotonic
2025-10-30T00:20:55.188127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0163458
92.3%
59989
 
0.6%
117884
 
0.5%
49516
 
0.3%
39364
 
0.2%
226338
 
0.2%
29331
 
0.2%
57.95000076306
 
0.2%
107.9499969296
 
0.2%
77248
 
0.1%
Other values (2346)9429
 
5.3%
ValueCountFrequency (%)
0163458
92.3%
0.29150000211
 
< 0.1%
1.7383999821
 
< 0.1%
1.8957999941
 
< 0.1%
2.3564000131
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
12307.51
< 0.1%
110001
< 0.1%
33001
< 0.1%
3162.9499511
< 0.1%

V310
Real number (ℝ)

Zeros 

Distinct10689
Distinct (%)6.0%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean118.7138704
Minimum0
Maximum30250
Zeros106063
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.235142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3107.9499969
95-th percentile554
Maximum30250
Range30250
Interquartile range (IQR)107.9499969

Descriptive statistics

Standard deviation346.1247778
Coefficient of variation (CV)2.915622046
Kurtosis720.6774411
Mean118.7138704
Median Absolute Deviation (MAD)0
Skewness13.62568929
Sum21031230.57
Variance119802.3618
MonotonicityNot monotonic
2025-10-30T00:20:55.285833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0106063
59.9%
107.94999692003
 
1.1%
591899
 
1.1%
57.950000761798
 
1.0%
1171725
 
1.0%
49967
 
0.5%
226728
 
0.4%
47.95000076671
 
0.4%
35.95000076612
 
0.3%
39582
 
0.3%
Other values (10679)60111
33.9%
ValueCountFrequency (%)
0106063
59.9%
0.29150000211
 
< 0.1%
0.48390001061
 
< 0.1%
0.68739998341
 
< 0.1%
0.76959997421
 
< 0.1%
ValueCountFrequency (%)
302502
< 0.1%
125001
< 0.1%
12307.51
< 0.1%
110001
< 0.1%
7519.8701171
< 0.1%

V311
Real number (ℝ)

Skewed  Zeros 

Distinct1592
Distinct (%)0.9%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.105012051
Minimum0
Maximum12500
Zeros171978
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.338070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.26220987
Coefficient of variation (CV)15.41096812
Kurtosis14234.48766
Mean4.105012051
Median Absolute Deviation (MAD)0
Skewness87.93581863
Sum727239.8299
Variance4002.107197
MonotonicityNot monotonic
2025-10-30T00:20:55.390028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0171978
97.1%
59271
 
0.2%
117248
 
0.1%
57.95000076189
 
0.1%
107.9499969183
 
0.1%
49114
 
0.1%
2996
 
0.1%
3986
 
< 0.1%
10083
 
< 0.1%
22675
 
< 0.1%
Other values (1582)3836
 
2.2%
ValueCountFrequency (%)
0171978
97.1%
0.29150000211
 
< 0.1%
1.8957999941
 
< 0.1%
2.3564000131
 
< 0.1%
2.3903000351
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
110001
< 0.1%
3162.9499511
< 0.1%
3093.9499511
< 0.1%
3053.9699711
< 0.1%

V312
Real number (ℝ)

Zeros 

Distinct4661
Distinct (%)2.6%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.31070217
Minimum0
Maximum12500
Zeros139724
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.439394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile219.1940033
Maximum12500
Range12500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation152.2474395
Coefficient of variation (CV)3.872925974
Kurtosis721.9008932
Mean39.31070217
Median Absolute Deviation (MAD)0
Skewness15.03427994
Sum6964244.686
Variance23179.28283
MonotonicityNot monotonic
2025-10-30T00:20:55.491286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0139724
78.9%
591940
 
1.1%
1171819
 
1.0%
57.950000761088
 
0.6%
49951
 
0.5%
107.9499969875
 
0.5%
226713
 
0.4%
39655
 
0.4%
29539
 
0.3%
171513
 
0.3%
Other values (4651)28342
 
16.0%
ValueCountFrequency (%)
0139724
78.9%
0.29150000211
 
< 0.1%
1.1648999451
 
< 0.1%
1.7383999822
 
< 0.1%
1.8957999941
 
< 0.1%
ValueCountFrequency (%)
125001
< 0.1%
12307.51
< 0.1%
110001
< 0.1%
4015.8999021
< 0.1%
3489.51
< 0.1%

V313
Real number (ℝ)

Zeros 

Distinct3280
Distinct (%)1.9%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean21.18855228
Minimum0
Maximum4079.939941
Zeros146727
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.542626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile115.9000015
Maximum4079.939941
Range4079.939941
Interquartile range (IQR)0

Descriptive statistics

Standard deviation94.13014388
Coefficient of variation (CV)4.442500017
Kurtosis309.5757385
Mean21.18855228
Median Absolute Deviation (MAD)0
Skewness13.80677975
Sum3745521.576
Variance8860.483986
MonotonicityNot monotonic
2025-10-30T00:20:55.593595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0146727
82.8%
592030
 
1.1%
1171626
 
0.9%
57.950000761094
 
0.6%
107.94999691042
 
0.6%
49943
 
0.5%
39718
 
0.4%
226711
 
0.4%
100635
 
0.4%
29510
 
0.3%
Other values (3270)20735
 
11.7%
ValueCountFrequency (%)
0146727
82.8%
0.29150000212
 
< 0.1%
0.48390001061
 
< 0.1%
0.54269999271
 
< 0.1%
0.68739998341
 
< 0.1%
ValueCountFrequency (%)
4079.9399411
< 0.1%
3956.1999511
< 0.1%
3618.3100591
< 0.1%
3594.9499511
< 0.1%
33001
< 0.1%

V314
Real number (ℝ)

Zeros 

Distinct6373
Distinct (%)3.6%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean42.95557936
Minimum0
Maximum7519.870117
Zeros141798
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.642827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile234
Maximum7519.870117
Range7519.870117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation169.3053455
Coefficient of variation (CV)3.941405238
Kurtosis198.337323
Mean42.95557936
Median Absolute Deviation (MAD)0
Skewness10.3803601
Sum7593300.719
Variance28664.30001
MonotonicityNot monotonic
2025-10-30T00:20:55.692981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0141798
80.0%
591300
 
0.7%
1171182
 
0.7%
107.9499969804
 
0.5%
57.95000076779
 
0.4%
49690
 
0.4%
226488
 
0.3%
740430
 
0.2%
39427
 
0.2%
29336
 
0.2%
Other values (6363)28537
 
16.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0141798
80.0%
0.29150000212
 
< 0.1%
0.48390001061
 
< 0.1%
0.68739998341
 
< 0.1%
0.76959997421
 
< 0.1%
ValueCountFrequency (%)
7519.8701173
< 0.1%
6159.8901371
 
< 0.1%
5183.7797852
< 0.1%
5021.8999021
 
< 0.1%
48202
< 0.1%

V315
Real number (ℝ)

Zeros 

Distinct4150
Distinct (%)2.3%
Missing391
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean26.56824641
Minimum0
Maximum4079.939941
Zeros145977
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.748620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile141
Maximum4079.939941
Range4079.939941
Interquartile range (IQR)0

Descriptive statistics

Standard deviation113.7396745
Coefficient of variation (CV)4.281038076
Kurtosis206.9332543
Mean26.56824641
Median Absolute Deviation (MAD)0
Skewness11.48957162
Sum4696495.485
Variance12936.71355
MonotonicityNot monotonic
2025-10-30T00:20:55.799368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0145977
82.4%
591572
 
0.9%
1171333
 
0.8%
57.95000076916
 
0.5%
107.9499969912
 
0.5%
49759
 
0.4%
100620
 
0.3%
226551
 
0.3%
39507
 
0.3%
29390
 
0.2%
Other values (4140)23234
 
13.1%
(Missing)391
 
0.2%
ValueCountFrequency (%)
0145977
82.4%
0.29150000212
 
< 0.1%
0.48390001061
 
< 0.1%
0.68739998341
 
< 0.1%
0.76959997421
 
< 0.1%
ValueCountFrequency (%)
4079.9399411
 
< 0.1%
3956.1999511
 
< 0.1%
38763
< 0.1%
3618.3100591
 
< 0.1%
3594.9499511
 
< 0.1%

V316
Real number (ℝ)

Skewed  Zeros 

Distinct4273
Distinct (%)2.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean112.7403722
Minimum0
Maximum93100
Zeros163751
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.849218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87
Maximum93100
Range93100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2328.317289
Coefficient of variation (CV)20.6520277
Kurtosis960.5854048
Mean112.7403722
Median Absolute Deviation (MAD)0
Skewness29.81535696
Sum19972971.59
Variance5421061.397
MonotonicityNot monotonic
2025-10-30T00:20:55.897870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0163751
92.4%
117555
 
0.3%
59440
 
0.2%
100286
 
0.2%
49274
 
0.2%
226239
 
0.1%
50196
 
0.1%
200195
 
0.1%
150187
 
0.1%
171177
 
0.1%
Other values (4263)10859
 
6.1%
ValueCountFrequency (%)
0163751
92.4%
0.29150000211
 
< 0.1%
0.4668999911
 
< 0.1%
1.7563999892
 
< 0.1%
2.0011999611
 
< 0.1%
ValueCountFrequency (%)
931001
< 0.1%
928881
< 0.1%
927821
< 0.1%
921461
< 0.1%
918281
< 0.1%

V317
Real number (ℝ)

Skewed  Zeros 

Distinct7028
Distinct (%)4.0%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean250.9025217
Minimum0
Maximum134021
Zeros155682
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:55.949056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile250
Maximum134021
Range134021
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4048.127524
Coefficient of variation (CV)16.134264
Kurtosis662.2199215
Mean250.9025217
Median Absolute Deviation (MAD)0
Skewness24.63242788
Sum44449639.85
Variance16387336.45
MonotonicityNot monotonic
2025-10-30T00:20:56.002869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0155682
87.9%
117673
 
0.4%
59518
 
0.3%
226324
 
0.2%
100305
 
0.2%
49302
 
0.2%
200220
 
0.1%
171211
 
0.1%
50208
 
0.1%
150204
 
0.1%
Other values (7018)18512
 
10.4%
ValueCountFrequency (%)
0155682
87.9%
0.29150000211
 
< 0.1%
1.0710999971
 
< 0.1%
1.8572000271
 
< 0.1%
2.2153999811
 
< 0.1%
ValueCountFrequency (%)
1340218
< 0.1%
1337071
 
< 0.1%
1335951
 
< 0.1%
1330911
 
< 0.1%
1329791
 
< 0.1%

V318
Real number (ℝ)

Skewed  Zeros 

Distinct5569
Distinct (%)3.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean165.8830134
Minimum0
Maximum98364
Zeros160275
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.056215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum98364
Range98364
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2858.082028
Coefficient of variation (CV)17.22950391
Kurtosis701.5366803
Mean165.8830134
Median Absolute Deviation (MAD)0
Skewness25.3912929
Sum29387668.77
Variance8168632.879
MonotonicityNot monotonic
2025-10-30T00:20:56.109388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160275
90.5%
117621
 
0.4%
59462
 
0.3%
100298
 
0.2%
226272
 
0.2%
49271
 
0.2%
200205
 
0.1%
50198
 
0.1%
150196
 
0.1%
171191
 
0.1%
Other values (5559)14170
 
8.0%
ValueCountFrequency (%)
0160275
90.5%
0.29150000211
 
< 0.1%
0.4668999911
 
< 0.1%
1.7563999891
 
< 0.1%
2.565200092
 
< 0.1%
ValueCountFrequency (%)
983641
< 0.1%
982521
< 0.1%
977481
< 0.1%
976361
< 0.1%
975801
< 0.1%

V319
Real number (ℝ)

Skewed  Zeros 

Distinct2139
Distinct (%)1.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean19.50750143
Minimum0
Maximum104060
Zeros168816
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.162256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation449.312321
Coefficient of variation (CV)23.03279703
Kurtosis34515.49212
Mean19.50750143
Median Absolute Deviation (MAD)0
Skewness166.6460186
Sum3455929.446
Variance201881.5618
MonotonicityNot monotonic
2025-10-30T00:20:56.214201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0168816
95.3%
100318
 
0.2%
1165258
 
0.1%
200227
 
0.1%
117224
 
0.1%
59209
 
0.1%
150168
 
0.1%
50152
 
0.1%
57.95000076146
 
0.1%
300139
 
0.1%
Other values (2129)6502
 
3.7%
ValueCountFrequency (%)
0168816
95.3%
2.5334000591
 
< 0.1%
3.091000081
 
< 0.1%
3.8673999311
 
< 0.1%
4.6110000611
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
432001
< 0.1%

V320
Real number (ℝ)

Skewed  Zeros 

Distinct3139
Distinct (%)1.8%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean43.1306911
Minimum0
Maximum104060
Zeros162819
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.261526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile98
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation558.8089723
Coefficient of variation (CV)12.95617942
Kurtosis14461.12506
Mean43.1306911
Median Absolute Deviation (MAD)0
Skewness90.65714574
Sum7640990.105
Variance312267.4676
MonotonicityNot monotonic
2025-10-30T00:20:56.312056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0162819
91.9%
117396
 
0.2%
59395
 
0.2%
100367
 
0.2%
57.95000076272
 
0.2%
107.9499969261
 
0.1%
7226259
 
0.1%
200247
 
0.1%
226239
 
0.1%
49208
 
0.1%
Other values (3129)11696
 
6.6%
ValueCountFrequency (%)
0162819
91.9%
1.3085999492
 
< 0.1%
2.2916998861
 
< 0.1%
2.5334000591
 
< 0.1%
3.2753999231
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
432001
< 0.1%

V321
Real number (ℝ)

Skewed  Zeros 

Distinct2576
Distinct (%)1.5%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean29.49398224
Minimum0
Maximum104060
Zeros166661
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.361557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42.95000076
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation484.6670944
Coefficient of variation (CV)16.43274518
Kurtosis25490.74777
Mean29.49398224
Median Absolute Deviation (MAD)0
Skewness133.8131505
Sum5225124.399
Variance234902.1924
MonotonicityNot monotonic
2025-10-30T00:20:56.416563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166661
94.1%
100343
 
0.2%
59283
 
0.2%
117278
 
0.2%
200235
 
0.1%
57.95000076184
 
0.1%
150183
 
0.1%
50173
 
0.1%
226173
 
0.1%
49167
 
0.1%
Other values (2566)8479
 
4.8%
ValueCountFrequency (%)
0166661
94.1%
1.3085999492
 
< 0.1%
2.5334000591
 
< 0.1%
3.091000081
 
< 0.1%
3.2753999231
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1016401
< 0.1%
605001
< 0.1%
520301
< 0.1%
432001
< 0.1%

V322
Real number (ℝ)

Missing  Zeros 

Distinct374
Distinct (%)1.5%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean6.409491962
Minimum0
Maximum874
Zeros19908
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.463200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum874
Range874
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.41261374
Coefficient of variation (CV)8.957435952
Kurtosis132.281395
Mean6.409491962
Median Absolute Deviation (MAD)0
Skewness11.11301888
Sum159090
Variance3296.208216
MonotonicityNot monotonic
2025-10-30T00:20:56.512574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019908
 
11.2%
12576
 
1.5%
2953
 
0.5%
3462
 
0.3%
4217
 
0.1%
5111
 
0.1%
670
 
< 0.1%
729
 
< 0.1%
820
 
< 0.1%
919
 
< 0.1%
Other values (364)456
 
0.3%
(Missing)152341
86.0%
ValueCountFrequency (%)
019908
11.2%
12576
 
1.5%
2953
 
0.5%
3462
 
0.3%
4217
 
0.1%
ValueCountFrequency (%)
8741
< 0.1%
8721
< 0.1%
8711
< 0.1%
8651
< 0.1%
8621
< 0.1%

V323
Real number (ℝ)

Missing  Zeros 

Distinct472
Distinct (%)1.9%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean13.3859635
Minimum0
Maximum1409
Zeros18375
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.557582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum1409
Range1409
Interquartile range (IQR)1

Descriptive statistics

Standard deviation108.6714126
Coefficient of variation (CV)8.118310845
Kurtosis98.70621414
Mean13.3859635
Median Absolute Deviation (MAD)0
Skewness9.69900979
Sum332253
Variance11809.47593
MonotonicityNot monotonic
2025-10-30T00:20:56.610091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018375
 
10.4%
12792
 
1.6%
21191
 
0.7%
3599
 
0.3%
4358
 
0.2%
5233
 
0.1%
6146
 
0.1%
798
 
0.1%
973
 
< 0.1%
870
 
< 0.1%
Other values (462)886
 
0.5%
(Missing)152341
86.0%
ValueCountFrequency (%)
018375
10.4%
12792
 
1.6%
21191
 
0.7%
3599
 
0.3%
4358
 
0.2%
ValueCountFrequency (%)
14091
< 0.1%
14081
< 0.1%
14072
< 0.1%
14061
< 0.1%
14031
< 0.1%

V324
Real number (ℝ)

Missing  Zeros 

Distinct397
Distinct (%)1.6%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean9.434188792
Minimum0
Maximum974
Zeros19005
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.659111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum974
Range974
Interquartile range (IQR)0

Descriptive statistics

Standard deviation75.18039539
Coefficient of variation (CV)7.968930562
Kurtosis91.88526724
Mean9.434188792
Median Absolute Deviation (MAD)0
Skewness9.325672402
Sum234166
Variance5652.091851
MonotonicityNot monotonic
2025-10-30T00:20:56.707719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019005
 
10.7%
12725
 
1.5%
21166
 
0.7%
3580
 
0.3%
4331
 
0.2%
5186
 
0.1%
6128
 
0.1%
768
 
< 0.1%
842
 
< 0.1%
938
 
< 0.1%
Other values (387)552
 
0.3%
(Missing)152341
86.0%
ValueCountFrequency (%)
019005
10.7%
12725
 
1.5%
21166
 
0.7%
3580
 
0.3%
4331
 
0.2%
ValueCountFrequency (%)
9741
< 0.1%
9721
< 0.1%
9631
< 0.1%
9611
< 0.1%
9601
< 0.1%

V325
Real number (ℝ)

Missing  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.05749164014
Minimum0
Maximum11
Zeros23717
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.744311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3094639011
Coefficient of variation (CV)5.382763483
Kurtosis165.7303245
Mean0.05749164014
Median Absolute Deviation (MAD)0
Skewness9.362466366
Sum1427
Variance0.0957679061
MonotonicityNot monotonic
2025-10-30T00:20:56.775035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
023717
 
13.4%
1864
 
0.5%
2199
 
0.1%
325
 
< 0.1%
47
 
< 0.1%
53
 
< 0.1%
62
 
< 0.1%
111
 
< 0.1%
91
 
< 0.1%
81
 
< 0.1%
(Missing)152341
86.0%
ValueCountFrequency (%)
023717
13.4%
1864
 
0.5%
2199
 
0.1%
325
 
< 0.1%
47
 
< 0.1%
ValueCountFrequency (%)
111
< 0.1%
91
< 0.1%
81
< 0.1%
71
< 0.1%
62
< 0.1%

V326
Real number (ℝ)

Missing  Zeros 

Distinct42
Distinct (%)0.2%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.83985335
Minimum0
Maximum43
Zeros21957
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.817014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.891779478
Coefficient of variation (CV)4.633879805
Kurtosis34.55136713
Mean0.83985335
Median Absolute Deviation (MAD)0
Skewness5.769036184
Sum20846
Variance15.1459475
MonotonicityNot monotonic
2025-10-30T00:20:56.860642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
021957
 
12.4%
11228
 
0.7%
2327
 
0.2%
27284
 
0.2%
3139
 
0.1%
18125
 
0.1%
4113
 
0.1%
589
 
0.1%
765
 
< 0.1%
655
 
< 0.1%
Other values (32)439
 
0.2%
(Missing)152341
86.0%
ValueCountFrequency (%)
021957
12.4%
11228
 
0.7%
2327
 
0.2%
3139
 
0.1%
4113
 
0.1%
ValueCountFrequency (%)
431
 
< 0.1%
422
< 0.1%
413
< 0.1%
381
 
< 0.1%
371
 
< 0.1%

V327
Real number (ℝ)

Missing  Zeros 

Distinct16
Distinct (%)0.1%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.2928971435
Minimum0
Maximum18
Zeros22656
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.897681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.350599559
Coefficient of variation (CV)4.611173542
Kurtosis36.86345102
Mean0.2928971435
Median Absolute Deviation (MAD)0
Skewness5.895916218
Sum7270
Variance1.824119169
MonotonicityNot monotonic
2025-10-30T00:20:56.932418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
022656
 
12.8%
11076
 
0.6%
2291
 
0.2%
10193
 
0.1%
7132
 
0.1%
3116
 
0.1%
9107
 
0.1%
486
 
< 0.1%
564
 
< 0.1%
643
 
< 0.1%
Other values (6)57
 
< 0.1%
(Missing)152341
86.0%
ValueCountFrequency (%)
022656
12.8%
11076
 
0.6%
2291
 
0.2%
3116
 
0.1%
486
 
< 0.1%
ValueCountFrequency (%)
182
 
< 0.1%
161
 
< 0.1%
131
 
< 0.1%
123
 
< 0.1%
118
< 0.1%

V328
Real number (ℝ)

Missing  Zeros 

Distinct16
Distinct (%)0.1%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.3388259941
Minimum0
Maximum15
Zeros22171
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:56.967275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.600972627
Coefficient of variation (CV)4.725058451
Kurtosis46.67784745
Mean0.3388259941
Median Absolute Deviation (MAD)0
Skewness6.638016398
Sum8410
Variance2.563113352
MonotonicityNot monotonic
2025-10-30T00:20:57.007849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
022171
 
12.5%
11472
 
0.8%
2463
 
0.3%
11297
 
0.2%
3179
 
0.1%
1574
 
< 0.1%
458
 
< 0.1%
530
 
< 0.1%
1225
 
< 0.1%
621
 
< 0.1%
Other values (6)31
 
< 0.1%
(Missing)152341
86.0%
ValueCountFrequency (%)
022171
12.5%
11472
 
0.8%
2463
 
0.3%
3179
 
0.1%
458
 
< 0.1%
ValueCountFrequency (%)
1574
 
< 0.1%
145
 
< 0.1%
132
 
< 0.1%
1225
 
< 0.1%
11297
0.2%

V329
Real number (ℝ)

Missing  Zeros 

Distinct62
Distinct (%)0.2%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean1.325772531
Minimum0
Maximum96
Zeros21782
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.052863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum96
Range96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.804950176
Coefficient of variation (CV)6.641373213
Kurtosis65.18560919
Mean1.325772531
Median Absolute Deviation (MAD)0
Skewness8.031808004
Sum32907
Variance77.5271476
MonotonicityNot monotonic
2025-10-30T00:20:57.101839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021782
 
12.3%
11602
 
0.9%
2538
 
0.3%
77259
 
0.1%
3219
 
0.1%
473
 
< 0.1%
3860
 
< 0.1%
542
 
< 0.1%
635
 
< 0.1%
3519
 
< 0.1%
Other values (52)192
 
0.1%
(Missing)152341
86.0%
ValueCountFrequency (%)
021782
12.3%
11602
 
0.9%
2538
 
0.3%
3219
 
0.1%
473
 
< 0.1%
ValueCountFrequency (%)
961
 
< 0.1%
951
 
< 0.1%
943
< 0.1%
911
 
< 0.1%
901
 
< 0.1%

V330
Real number (ℝ)

Missing  Zeros 

Distinct42
Distinct (%)0.2%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.7867128641
Minimum0
Maximum55
Zeros21971
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.145938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.766180118
Coefficient of variation (CV)6.05834776
Kurtosis56.31923248
Mean0.7867128641
Median Absolute Deviation (MAD)0
Skewness7.487022121
Sum19527
Variance22.71647292
MonotonicityNot monotonic
2025-10-30T00:20:57.191101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
021971
 
12.4%
11539
 
0.9%
2523
 
0.3%
3197
 
0.1%
35132
 
0.1%
3262
 
< 0.1%
3958
 
< 0.1%
457
 
< 0.1%
4248
 
< 0.1%
537
 
< 0.1%
Other values (32)197
 
0.1%
(Missing)152341
86.0%
ValueCountFrequency (%)
021971
12.4%
11539
 
0.9%
2523
 
0.3%
3197
 
0.1%
457
 
< 0.1%
ValueCountFrequency (%)
551
< 0.1%
541
< 0.1%
531
< 0.1%
521
< 0.1%
501
< 0.1%

V331
Real number (ℝ)

Missing  Zeros 

Distinct648
Distinct (%)2.6%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean744.6702993
Minimum0
Maximum104060
Zeros19908
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.247625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile400
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6355.779379
Coefficient of variation (CV)8.535024674
Kurtosis127.2539918
Mean744.6702993
Median Absolute Deviation (MAD)0
Skewness10.90043875
Sum18483461.5
Variance40395931.51
MonotonicityNot monotonic
2025-10-30T00:20:57.299053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019908
 
11.2%
100659
 
0.4%
50428
 
0.2%
200421
 
0.2%
150391
 
0.2%
300320
 
0.2%
250165
 
0.1%
400160
 
0.1%
25152
 
0.1%
75129
 
0.1%
Other values (638)2088
 
1.2%
(Missing)152341
86.0%
ValueCountFrequency (%)
019908
11.2%
519
 
< 0.1%
66
 
< 0.1%
7.51
 
< 0.1%
85
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
942651
< 0.1%
940531
< 0.1%
939471
< 0.1%
933111
< 0.1%

V332
Real number (ℝ)

Missing  Zeros 

Distinct953
Distinct (%)3.8%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean1408.588833
Minimum0
Maximum146105
Zeros18375
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.351280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325
95-th percentile600
Maximum146105
Range146105
Interquartile range (IQR)25

Descriptive statistics

Standard deviation11364.43129
Coefficient of variation (CV)8.067954979
Kurtosis99.07394436
Mean1408.588833
Median Absolute Deviation (MAD)0
Skewness9.717551875
Sum34962583.43
Variance129150298.6
MonotonicityNot monotonic
2025-10-30T00:20:57.406301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018375
 
10.4%
100762
 
0.4%
50518
 
0.3%
200476
 
0.3%
150450
 
0.3%
300370
 
0.2%
250197
 
0.1%
400186
 
0.1%
25169
 
0.1%
75168
 
0.1%
Other values (943)3150
 
1.8%
(Missing)152341
86.0%
ValueCountFrequency (%)
018375
10.4%
1.4800000191
 
< 0.1%
513
 
< 0.1%
62
 
< 0.1%
7.57
 
< 0.1%
ValueCountFrequency (%)
1461051
< 0.1%
1459991
< 0.1%
1459121
< 0.1%
1458931
< 0.1%
1458021
< 0.1%

V333
Real number (ℝ)

Missing  Zeros 

Distinct758
Distinct (%)3.1%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean1043.038878
Minimum0
Maximum104060
Zeros19005
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.463626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile500
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8111.681784
Coefficient of variation (CV)7.77696973
Kurtosis91.68021266
Mean1043.038878
Median Absolute Deviation (MAD)0
Skewness9.315025962
Sum25889268
Variance65799381.37
MonotonicityNot monotonic
2025-10-30T00:20:57.518330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019005
 
10.7%
100725
 
0.4%
50497
 
0.3%
200453
 
0.3%
150424
 
0.2%
300345
 
0.2%
250184
 
0.1%
400180
 
0.1%
25170
 
0.1%
75150
 
0.1%
Other values (748)2688
 
1.5%
(Missing)152341
86.0%
ValueCountFrequency (%)
019005
10.7%
514
 
< 0.1%
66
 
< 0.1%
71
 
< 0.1%
7.51
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
1033831
< 0.1%
1032711
< 0.1%
1027671
< 0.1%
1026551
< 0.1%

V334
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct91
Distinct (%)0.4%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean9.189315499
Minimum0
Maximum12307.5
Zeros23717
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.568220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12307.5
Range12307.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation131.2027395
Coefficient of variation (CV)14.27774893
Kurtosis5177.565588
Mean9.189315499
Median Absolute Deviation (MAD)0
Skewness61.62811669
Sum228088
Variance17214.15886
MonotonicityNot monotonic
2025-10-30T00:20:57.618558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023717
 
13.4%
100158
 
0.1%
50118
 
0.1%
10663
 
< 0.1%
2562
 
< 0.1%
15060
 
< 0.1%
26556
 
< 0.1%
2054
 
< 0.1%
18146
 
< 0.1%
1042
 
< 0.1%
Other values (81)445
 
0.3%
(Missing)152341
86.0%
ValueCountFrequency (%)
023717
13.4%
517
 
< 0.1%
61
 
< 0.1%
7.51
 
< 0.1%
85
 
< 0.1%
ValueCountFrequency (%)
12307.51
< 0.1%
110001
< 0.1%
33001
< 0.1%
31001
< 0.1%
30002
< 0.1%

V335
Real number (ℝ)

Missing  Zeros 

Distinct372
Distinct (%)1.5%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean58.18145643
Minimum0
Maximum12307.5
Zeros21957
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.671233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum12307.5
Range12307.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation308.9157172
Coefficient of variation (CV)5.309521901
Kurtosis198.4785164
Mean58.18145643
Median Absolute Deviation (MAD)0
Skewness9.814733933
Sum1444121.93
Variance95428.92031
MonotonicityNot monotonic
2025-10-30T00:20:57.719855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021957
 
12.4%
2301275
 
0.2%
50252
 
0.1%
100227
 
0.1%
150136
 
0.1%
1259110
 
0.1%
25100
 
0.1%
200100
 
0.1%
2081
 
< 0.1%
3074
 
< 0.1%
Other values (362)1509
 
0.9%
(Missing)152341
86.0%
ValueCountFrequency (%)
021957
12.4%
1.4800000191
 
< 0.1%
513
 
< 0.1%
62
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
12307.51
< 0.1%
110001
< 0.1%
33501
< 0.1%
33001
< 0.1%
32001
< 0.1%

V336
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct196
Distinct (%)0.8%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean27.93261754
Minimum0
Maximum12307.5
Zeros22656
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.768039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile95
Maximum12307.5
Range12307.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation181.5983675
Coefficient of variation (CV)6.501301471
Kurtosis1418.460632
Mean27.93261754
Median Absolute Deviation (MAD)0
Skewness25.78384909
Sum693315.5
Variance32977.96709
MonotonicityNot monotonic
2025-10-30T00:20:57.817908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022656
 
12.8%
50212
 
0.1%
1052187
 
0.1%
100166
 
0.1%
619110
 
0.1%
25107
 
0.1%
15099
 
0.1%
94288
 
< 0.1%
3082
 
< 0.1%
2082
 
< 0.1%
Other values (186)1032
 
0.6%
(Missing)152341
86.0%
ValueCountFrequency (%)
022656
12.8%
514
 
< 0.1%
63
 
< 0.1%
71
 
< 0.1%
7.51
 
< 0.1%
ValueCountFrequency (%)
12307.51
< 0.1%
110001
< 0.1%
33001
< 0.1%
32501
< 0.1%
31001
< 0.1%

V337
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct151
Distinct (%)0.6%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean59.92657427
Minimum0
Maximum104060
Zeros22171
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:57.873572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation909.4358772
Coefficient of variation (CV)15.17583623
Kurtosis7946.592261
Mean59.92657427
Median Absolute Deviation (MAD)0
Skewness80.4127078
Sum1487437.5
Variance827073.6148
MonotonicityNot monotonic
2025-10-30T00:20:58.015954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022171
 
12.5%
100384
 
0.2%
1165258
 
0.1%
200240
 
0.1%
50197
 
0.1%
150196
 
0.1%
300169
 
0.1%
250106
 
0.1%
50087
 
< 0.1%
40078
 
< 0.1%
Other values (141)935
 
0.5%
(Missing)152341
86.0%
ValueCountFrequency (%)
022171
12.5%
58
 
< 0.1%
64
 
< 0.1%
81
 
< 0.1%
1016
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%
228691
< 0.1%

V338
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct207
Distinct (%)0.8%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean156.9214979
Minimum0
Maximum104060
Zeros21782
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:58.066934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile250
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1259.035249
Coefficient of variation (CV)8.023344574
Kurtosis2168.458465
Mean156.9214979
Median Absolute Deviation (MAD)0
Skewness32.97351641
Sum3894948.5
Variance1585169.758
MonotonicityNot monotonic
2025-10-30T00:20:58.115940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021782
 
12.3%
100430
 
0.2%
200266
 
0.2%
7709259
 
0.1%
50232
 
0.1%
150208
 
0.1%
300182
 
0.1%
250110
 
0.1%
50090
 
0.1%
40086
 
< 0.1%
Other values (197)1176
 
0.7%
(Missing)152341
86.0%
ValueCountFrequency (%)
021782
12.3%
57
 
< 0.1%
61
 
< 0.1%
81
 
< 0.1%
1025
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%
228691
< 0.1%

V339
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct182
Distinct (%)0.7%
Missing152341
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean105.4456106
Minimum0
Maximum104060
Zeros21971
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:58.164769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile225
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1021.434096
Coefficient of variation (CV)9.686833719
Kurtosis4985.886357
Mean105.4456106
Median Absolute Deviation (MAD)0
Skewness57.4807177
Sum2617265.5
Variance1043327.612
MonotonicityNot monotonic
2025-10-30T00:20:58.217186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021971
 
12.4%
100409
 
0.2%
200255
 
0.1%
50210
 
0.1%
150206
 
0.1%
300174
 
0.1%
3657132
 
0.1%
250109
 
0.1%
50091
 
0.1%
40082
 
< 0.1%
Other values (172)1182
 
0.7%
(Missing)152341
86.0%
ValueCountFrequency (%)
021971
12.4%
59
 
< 0.1%
63
 
< 0.1%
81
 
< 0.1%
1018
 
< 0.1%
ValueCountFrequency (%)
1040601
< 0.1%
520301
< 0.1%
512001
< 0.1%
432001
< 0.1%
228691
< 0.1%

id_01
Real number (ℝ)

Missing  Zeros 

Distinct53
Distinct (%)0.1%
Missing133876
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean-10.17518366
Minimum-100
Maximum0
Zeros5933
Zeros (%)3.3%
Negative37353
Negative (%)21.1%
Memory size1.4 MiB
2025-10-30T00:20:58.265315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-35
Q1-10
median-5
Q3-5
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.47114338
Coefficient of variation (CV)-1.422199722
Kurtosis16.97165745
Mean-10.17518366
Median Absolute Deviation (MAD)0
Skewness-3.710703095
Sum-440443
Variance209.4139906
MonotonicityNot monotonic
2025-10-30T00:20:58.314514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-524591
 
13.9%
05933
 
3.3%
-103393
 
1.9%
-203345
 
1.9%
-151724
 
1.0%
-251389
 
0.8%
-45609
 
0.3%
-35504
 
0.3%
-40423
 
0.2%
-100333
 
0.2%
Other values (43)1042
 
0.6%
(Missing)133876
75.6%
ValueCountFrequency (%)
-100333
0.2%
-961
 
< 0.1%
-95135
0.1%
-921
 
< 0.1%
-9061
 
< 0.1%
ValueCountFrequency (%)
05933
 
3.3%
-524591
13.9%
-62
 
< 0.1%
-77
 
< 0.1%
-91
 
< 0.1%

id_02
Real number (ℝ)

Missing 

Distinct39572
Distinct (%)93.6%
Missing134896
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean174421.875
Minimum2
Maximum999595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:58.367220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11562
Q167941.25
median125055
Q3227284.25
95-th percentile512526.25
Maximum999595
Range999593
Interquartile range (IQR)159343

Descriptive statistics

Standard deviation159979.0605
Coefficient of variation (CV)0.9171960828
Kurtosis4.069271238
Mean174421.875
Median Absolute Deviation (MAD)69988
Skewness1.856186658
Sum7372114970
Variance2.559329981 × 1010
MonotonicityNot monotonic
2025-10-30T00:20:58.420976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21315
 
< 0.1%
12285
 
< 0.1%
3285
 
< 0.1%
12014
 
< 0.1%
17144
 
< 0.1%
852904
 
< 0.1%
10244
 
< 0.1%
13034
 
< 0.1%
10894
 
< 0.1%
1201514
 
< 0.1%
Other values (39562)42223
 
23.8%
(Missing)134896
76.1%
ValueCountFrequency (%)
21
< 0.1%
361
< 0.1%
621
< 0.1%
681
< 0.1%
771
< 0.1%
ValueCountFrequency (%)
9995951
< 0.1%
9981261
< 0.1%
9977411
< 0.1%
9972511
< 0.1%
9932771
< 0.1%

id_03
Real number (ℝ)

Missing  Zeros 

Distinct22
Distinct (%)0.1%
Missing157171
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean0.06457906058
Minimum-13
Maximum9
Zeros19271
Zeros (%)10.9%
Negative42
Negative (%)< 0.1%
Memory size1.4 MiB
2025-10-30T00:20:58.461829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-13
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5790069483
Coefficient of variation (CV)8.965862047
Kurtosis105.2229827
Mean0.06457906058
Median Absolute Deviation (MAD)0
Skewness-0.140915614
Sum1291
Variance0.3352490462
MonotonicityNot monotonic
2025-10-30T00:20:58.496163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
019271
 
10.9%
1255
 
0.1%
3213
 
0.1%
2128
 
0.1%
530
 
< 0.1%
430
 
< 0.1%
620
 
< 0.1%
-57
 
< 0.1%
-66
 
< 0.1%
-76
 
< 0.1%
Other values (12)25
 
< 0.1%
(Missing)157171
88.7%
ValueCountFrequency (%)
-131
 
< 0.1%
-121
 
< 0.1%
-112
< 0.1%
-102
< 0.1%
-93
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
71
 
< 0.1%
620
< 0.1%
530
< 0.1%
430
< 0.1%

id_04
Real number (ℝ)

Missing  Zeros 

Distinct15
Distinct (%)0.1%
Missing157171
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean-0.05942674203
Minimum-28
Maximum0
Zeros19822
Zeros (%)11.2%
Negative169
Negative (%)0.1%
Memory size1.4 MiB
2025-10-30T00:20:58.528374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7241769588
Coefficient of variation (CV)-12.1860451
Kurtosis276.6404225
Mean-0.05942674203
Median Absolute Deviation (MAD)0
Skewness-14.8443768
Sum-1188
Variance0.5244322677
MonotonicityNot monotonic
2025-10-30T00:20:58.562045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
019822
 
11.2%
-535
 
< 0.1%
-824
 
< 0.1%
-624
 
< 0.1%
-1213
 
< 0.1%
-1013
 
< 0.1%
-1110
 
< 0.1%
-410
 
< 0.1%
-110
 
< 0.1%
-137
 
< 0.1%
Other values (5)23
 
< 0.1%
(Missing)157171
88.7%
ValueCountFrequency (%)
-281
 
< 0.1%
-137
< 0.1%
-1213
< 0.1%
-1110
< 0.1%
-1013
< 0.1%
ValueCountFrequency (%)
019822
11.2%
-110
 
< 0.1%
-26
 
< 0.1%
-36
 
< 0.1%
-410
 
< 0.1%

id_05
Real number (ℝ)

Missing  Zeros 

Distinct85
Distinct (%)0.2%
Missing136093
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean1.622367236
Minimum-72
Maximum52
Zeros27902
Zeros (%)15.7%
Negative1834
Negative (%)1.0%
Memory size1.4 MiB
2025-10-30T00:20:58.609627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-72
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum52
Range124
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.271175399
Coefficient of variation (CV)3.249064258
Kurtosis13.36688269
Mean1.622367236
Median Absolute Deviation (MAD)0
Skewness2.496027098
Sum66629
Variance27.78529009
MonotonicityNot monotonic
2025-10-30T00:20:58.659594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027902
 
15.7%
12480
 
1.4%
21495
 
0.8%
31124
 
0.6%
4859
 
0.5%
6688
 
0.4%
5680
 
0.4%
7450
 
0.3%
8371
 
0.2%
9303
 
0.2%
Other values (75)4717
 
2.7%
(Missing)136093
76.8%
ValueCountFrequency (%)
-721
< 0.1%
-461
< 0.1%
-441
< 0.1%
-401
< 0.1%
-341
< 0.1%
ValueCountFrequency (%)
521
 
< 0.1%
501
 
< 0.1%
481
 
< 0.1%
461
 
< 0.1%
453
< 0.1%

id_06
Real number (ℝ)

Missing  Zeros 

Distinct97
Distinct (%)0.2%
Missing136093
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean-6.635734983
Minimum-100
Maximum0
Zeros27472
Zeros (%)15.5%
Negative13597
Negative (%)7.7%
Memory size1.4 MiB
2025-10-30T00:20:58.708020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-33
Q1-6
median0
Q30
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.36101119
Coefficient of variation (CV)-2.465591413
Kurtosis17.60888318
Mean-6.635734983
Median Absolute Deviation (MAD)0
Skewness-3.916317974
Sum-272523
Variance267.6826871
MonotonicityNot monotonic
2025-10-30T00:20:58.757804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027472
 
15.5%
-11414
 
0.8%
-51146
 
0.6%
-6935
 
0.5%
-9786
 
0.4%
-100711
 
0.4%
-10616
 
0.3%
-8590
 
0.3%
-11530
 
0.3%
-7454
 
0.3%
Other values (87)6415
 
3.6%
(Missing)136093
76.8%
ValueCountFrequency (%)
-100711
0.4%
-986
 
< 0.1%
-972
 
< 0.1%
-963
 
< 0.1%
-951
 
< 0.1%
ValueCountFrequency (%)
027472
15.5%
-11414
 
0.8%
-2129
 
0.1%
-3169
 
0.1%
-4388
 
0.2%

id_07
Real number (ℝ)

Missing 

Distinct72
Distinct (%)4.8%
Missing175650
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean13.09722222
Minimum-37
Maximum61
Zeros123
Zeros (%)0.1%
Negative112
Negative (%)0.1%
Memory size1.4 MiB
2025-10-30T00:20:58.810268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-37
5-th percentile-3
Q14
median13.5
Q322
95-th percentile30
Maximum61
Range98
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.4413507
Coefficient of variation (CV)0.8735707852
Kurtosis0.6226601621
Mean13.09722222
Median Absolute Deviation (MAD)8.5
Skewness-0.1745439027
Sum19803
Variance130.9045058
MonotonicityNot monotonic
2025-10-30T00:20:58.863071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0123
 
0.1%
1675
 
< 0.1%
1264
 
< 0.1%
1463
 
< 0.1%
1355
 
< 0.1%
455
 
< 0.1%
2254
 
< 0.1%
1750
 
< 0.1%
1549
 
< 0.1%
348
 
< 0.1%
Other values (62)876
 
0.5%
(Missing)175650
99.1%
ValueCountFrequency (%)
-371
< 0.1%
-321
< 0.1%
-312
< 0.1%
-302
< 0.1%
-271
< 0.1%
ValueCountFrequency (%)
611
 
< 0.1%
511
 
< 0.1%
451
 
< 0.1%
431
 
< 0.1%
423
< 0.1%

id_08
Real number (ℝ)

Missing 

Distinct84
Distinct (%)5.6%
Missing175650
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean-37.9457672
Minimum-100
Maximum0
Zeros91
Zeros (%)0.1%
Negative1421
Negative (%)0.8%
Memory size1.4 MiB
2025-10-30T00:20:58.912559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-100
Q1-48
median-34
Q3-23
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.78867888
Coefficient of variation (CV)-0.6796193827
Kurtosis0.7746917417
Mean-37.9457672
Median Absolute Deviation (MAD)13
Skewness-1.012425723
Sum-57374
Variance665.0559582
MonotonicityNot monotonic
2025-10-30T00:20:58.962582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100135
 
0.1%
091
 
0.1%
-3482
 
< 0.1%
-3557
 
< 0.1%
-3356
 
< 0.1%
-3254
 
< 0.1%
-2542
 
< 0.1%
-2436
 
< 0.1%
-3634
 
< 0.1%
-4733
 
< 0.1%
Other values (74)892
 
0.5%
(Missing)175650
99.1%
ValueCountFrequency (%)
-100135
0.1%
-993
 
< 0.1%
-981
 
< 0.1%
-931
 
< 0.1%
-921
 
< 0.1%
ValueCountFrequency (%)
091
0.1%
-111
 
< 0.1%
-33
 
< 0.1%
-410
 
< 0.1%
-512
 
< 0.1%

id_09
Real number (ℝ)

Missing  Zeros 

Distinct35
Distinct (%)0.2%
Missing154584
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean0.09969882186
Minimum-31
Maximum16
Zeros21220
Zeros (%)12.0%
Negative108
Negative (%)0.1%
Memory size1.4 MiB
2025-10-30T00:20:59.010702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-31
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9361173157
Coefficient of variation (CV)9.389452134
Kurtosis180.9775258
Mean0.09969882186
Median Absolute Deviation (MAD)0
Skewness-4.190111868
Sum2251
Variance0.8763156288
MonotonicityNot monotonic
2025-10-30T00:20:59.054241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
021220
 
12.0%
1485
 
0.3%
3305
 
0.2%
2242
 
0.1%
484
 
< 0.1%
566
 
< 0.1%
638
 
< 0.1%
-514
 
< 0.1%
-312
 
< 0.1%
-612
 
< 0.1%
Other values (25)100
 
0.1%
(Missing)154584
87.3%
ValueCountFrequency (%)
-311
< 0.1%
-261
< 0.1%
-231
< 0.1%
-222
< 0.1%
-171
< 0.1%
ValueCountFrequency (%)
161
 
< 0.1%
151
 
< 0.1%
131
 
< 0.1%
123
< 0.1%
112
< 0.1%

id_10
Real number (ℝ)

Missing  Zeros 

Distinct47
Distinct (%)0.2%
Missing154584
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean-0.2682257064
Minimum-100
Maximum0
Zeros21995
Zeros (%)12.4%
Negative583
Negative (%)0.3%
Memory size1.4 MiB
2025-10-30T00:20:59.099797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.520708624
Coefficient of variation (CV)-9.39771455
Kurtosis569.7904964
Mean-0.2682257064
Median Absolute Deviation (MAD)0
Skewness-19.57547488
Sum-6056
Variance6.353971968
MonotonicityNot monotonic
2025-10-30T00:20:59.146681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
021995
 
12.4%
-674
 
< 0.1%
-172
 
< 0.1%
-569
 
< 0.1%
-848
 
< 0.1%
-1038
 
< 0.1%
-938
 
< 0.1%
-1135
 
< 0.1%
-1229
 
< 0.1%
-725
 
< 0.1%
Other values (37)155
 
0.1%
(Missing)154584
87.3%
ValueCountFrequency (%)
-1004
< 0.1%
-681
 
< 0.1%
-601
 
< 0.1%
-561
 
< 0.1%
-541
 
< 0.1%
ValueCountFrequency (%)
021995
12.4%
-172
 
< 0.1%
-28
 
< 0.1%
-313
 
< 0.1%
-424
 
< 0.1%

id_11
Real number (ℝ)

Missing 

Distinct251
Distinct (%)0.6%
Missing134866
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean99.74405623
Minimum90
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:59.193502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile97.25
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.131106837
Coefficient of variation (CV)0.01134009263
Kurtosis24.36175146
Mean99.74405623
Median Absolute Deviation (MAD)0
Skewness-4.810302346
Sum4218774.602
Variance1.279402677
MonotonicityNot monotonic
2025-10-30T00:20:59.246461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10039945
 
22.5%
95.08000183390
 
0.2%
95.16000366228
 
0.1%
97.12000275144
 
0.1%
96.6699981797
 
0.1%
96.1900024480
 
< 0.1%
95.6500015366
 
< 0.1%
94.2900009265
 
< 0.1%
93.5500030563
 
< 0.1%
96.4700012254
 
< 0.1%
Other values (241)1164
 
0.7%
(Missing)134866
76.1%
ValueCountFrequency (%)
907
 
< 0.1%
90.099998472
 
< 0.1%
90.160003661
 
< 0.1%
90.1999969518
< 0.1%
90.209999081
 
< 0.1%
ValueCountFrequency (%)
10039945
22.5%
99.220001221
 
< 0.1%
99.099998471
 
< 0.1%
99.040000921
 
< 0.1%
99.010002141
 
< 0.1%

id_12
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing133876
Missing (%)75.6%
Memory size1.4 MiB
2025-10-30T00:20:59.293357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.557270249
Min length5

Characters and Unicode

Total characters327124
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNotFound
2nd rowNotFound
3rd rowNotFound
4th rowNotFound
5th rowNotFound
ValueCountFrequency (%)
notfound36898
85.2%
found6388
 
14.8%
2025-10-30T00:20:59.374156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o80184
24.5%
F43286
13.2%
u43286
13.2%
n43286
13.2%
d43286
13.2%
N36898
11.3%
t36898
11.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)327124
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o80184
24.5%
F43286
13.2%
u43286
13.2%
n43286
13.2%
d43286
13.2%
N36898
11.3%
t36898
11.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)327124
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o80184
24.5%
F43286
13.2%
u43286
13.2%
n43286
13.2%
d43286
13.2%
N36898
11.3%
t36898
11.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)327124
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o80184
24.5%
F43286
13.2%
u43286
13.2%
n43286
13.2%
d43286
13.2%
N36898
11.3%
t36898
11.3%

id_13
Real number (ℝ)

Missing 

Distinct43
Distinct (%)0.1%
Missing138978
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean47.99258852
Minimum11
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:59.413341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile20
Q149
median52
Q352
95-th percentile64
Maximum64
Range53
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.84887344
Coefficient of variation (CV)0.2468896513
Kurtosis1.253011129
Mean47.99258852
Median Absolute Deviation (MAD)3
Skewness-1.261772052
Sum1832549
Variance140.3958019
MonotonicityNot monotonic
2025-10-30T00:20:59.460802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5217422
 
9.8%
497921
 
4.5%
644275
 
2.4%
332933
 
1.7%
271077
 
0.6%
20872
 
0.5%
14764
 
0.4%
63457
 
0.3%
19395
 
0.2%
25351
 
0.2%
Other values (33)1717
 
1.0%
(Missing)138978
78.4%
ValueCountFrequency (%)
11122
 
0.1%
139
 
< 0.1%
14764
0.4%
15119
 
0.1%
171
 
< 0.1%
ValueCountFrequency (%)
644275
2.4%
63457
 
0.3%
62250
 
0.1%
6129
 
< 0.1%
602
 
< 0.1%

id_14
Real number (ℝ)

Missing 

Distinct23
Distinct (%)0.1%
Missing153047
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean-343.084802
Minimum-660
Maximum720
Zeros58
Zeros (%)< 0.1%
Negative23823
Negative (%)13.4%
Memory size1.4 MiB
2025-10-30T00:20:59.503556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-660
5-th percentile-480
Q1-360
median-300
Q3-300
95-th percentile-300
Maximum720
Range1380
Interquartile range (IQR)60

Descriptive statistics

Standard deviation96.24095562
Coefficient of variation (CV)-0.2805165226
Kurtosis28.58871022
Mean-343.084802
Median Absolute Deviation (MAD)0
Skewness3.117162918
Sum-8273490
Variance9262.321539
MonotonicityNot monotonic
2025-10-30T00:20:59.542678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-30013402
 
7.6%
-3604990
 
2.8%
-4803801
 
2.1%
-4201391
 
0.8%
-600128
 
0.1%
6099
 
0.1%
058
 
< 0.1%
-24044
 
< 0.1%
-18035
 
< 0.1%
-54031
 
< 0.1%
Other values (13)136
 
0.1%
(Missing)153047
86.4%
ValueCountFrequency (%)
-6601
 
< 0.1%
-600128
 
0.1%
-54031
 
< 0.1%
-4803801
2.1%
-4201391
 
0.8%
ValueCountFrequency (%)
7203
 
< 0.1%
60026
< 0.1%
54026
< 0.1%
48027
< 0.1%
4207
 
< 0.1%

id_15
Text

Missing 

Distinct3
Distinct (%)< 0.1%
Missing134862
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:20:59.582911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.292434988
Min length3

Characters and Unicode

Total characters181570
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFound
2nd rowNew
3rd rowNew
4th rowFound
5th rowNew
ValueCountFrequency (%)
found20419
48.3%
new18423
43.6%
unknown3458
 
8.2%
2025-10-30T00:20:59.659476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n30793
17.0%
o23877
13.2%
w21881
12.1%
F20419
11.2%
u20419
11.2%
d20419
11.2%
N18423
10.1%
e18423
10.1%
U3458
 
1.9%
k3458
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)181570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n30793
17.0%
o23877
13.2%
w21881
12.1%
F20419
11.2%
u20419
11.2%
d20419
11.2%
N18423
10.1%
e18423
10.1%
U3458
 
1.9%
k3458
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)181570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n30793
17.0%
o23877
13.2%
w21881
12.1%
F20419
11.2%
u20419
11.2%
d20419
11.2%
N18423
10.1%
e18423
10.1%
U3458
 
1.9%
k3458
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)181570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n30793
17.0%
o23877
13.2%
w21881
12.1%
F20419
11.2%
u20419
11.2%
d20419
11.2%
N18423
10.1%
e18423
10.1%
U3458
 
1.9%
k3458
 
1.9%

id_16
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing138320
Missing (%)78.1%
Memory size1.4 MiB
2025-10-30T00:20:59.701538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8
Median length5
Mean length6.45597549
Min length5

Characters and Unicode

Total characters250763
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFound
2nd rowNotFound
3rd rowNotFound
4th rowFound
5th rowNotFound
ValueCountFrequency (%)
found19991
51.5%
notfound18851
48.5%
2025-10-30T00:20:59.778005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o57693
23.0%
F38842
15.5%
u38842
15.5%
n38842
15.5%
d38842
15.5%
N18851
 
7.5%
t18851
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)250763
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o57693
23.0%
F38842
15.5%
u38842
15.5%
n38842
15.5%
d38842
15.5%
N18851
 
7.5%
t18851
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)250763
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o57693
23.0%
F38842
15.5%
u38842
15.5%
n38842
15.5%
d38842
15.5%
N18851
 
7.5%
t18851
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)250763
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o57693
23.0%
F38842
15.5%
u38842
15.5%
n38842
15.5%
d38842
15.5%
N18851
 
7.5%
t18851
 
7.5%

id_17
Real number (ℝ)

Missing 

Distinct87
Distinct (%)0.2%
Missing135333
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean189.3652012
Minimum100
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:59.825578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile166
Q1166
median166
Q3225
95-th percentile225
Maximum228
Range128
Interquartile range (IQR)59

Descriptive statistics

Standard deviation30.33563925
Coefficient of variation (CV)0.1601964831
Kurtosis-1.346793928
Mean189.3652012
Median Absolute Deviation (MAD)0
Skewness0.1473581176
Sum7920957
Variance920.2510086
MonotonicityNot monotonic
2025-10-30T00:20:59.876600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16623689
 
13.4%
22517028
 
9.6%
102202
 
0.1%
100105
 
0.1%
15992
 
0.1%
12181
 
< 0.1%
14862
 
< 0.1%
14241
 
< 0.1%
19138
 
< 0.1%
14435
 
< 0.1%
Other values (77)456
 
0.3%
(Missing)135333
76.4%
ValueCountFrequency (%)
100105
0.1%
1014
 
< 0.1%
102202
0.1%
1051
 
< 0.1%
10620
 
< 0.1%
ValueCountFrequency (%)
2283
 
< 0.1%
2262
 
< 0.1%
22517028
9.6%
2191
 
< 0.1%
21816
 
< 0.1%

id_18
Real number (ℝ)

Missing 

Distinct14
Distinct (%)0.1%
Missing163583
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean14.24456882
Minimum11
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:59.913232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q113
median15
Q315
95-th percentile15
Maximum29
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.558000911
Coefficient of variation (CV)0.109375084
Kurtosis12.76176185
Mean14.24456882
Median Absolute Deviation (MAD)0
Skewness2.016706885
Sum193427
Variance2.42736684
MonotonicityNot monotonic
2025-10-30T00:20:59.945289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
157698
 
4.3%
134016
 
2.3%
121394
 
0.8%
18200
 
0.1%
2097
 
0.1%
1776
 
< 0.1%
2132
 
< 0.1%
2623
 
< 0.1%
2417
 
< 0.1%
1112
 
< 0.1%
Other values (4)14
 
< 0.1%
(Missing)163583
92.3%
ValueCountFrequency (%)
1112
 
< 0.1%
121394
 
0.8%
134016
2.3%
157698
4.3%
1776
 
< 0.1%
ValueCountFrequency (%)
292
 
< 0.1%
281
 
< 0.1%
2710
< 0.1%
2623
< 0.1%
2417
< 0.1%

id_19
Real number (ℝ)

Missing 

Distinct465
Distinct (%)1.1%
Missing135346
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean352.7663574
Minimum100
Maximum671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:20:59.986192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile122
Q1266
median341
Q3427
95-th percentile613
Maximum671
Range571
Interquartile range (IQR)161

Descriptive statistics

Standard deviation141.6606829
Coefficient of variation (CV)0.4015708412
Kurtosis-0.8048327487
Mean352.7663574
Median Absolute Deviation (MAD)86
Skewness0.2003029815
Sum14751278
Variance20067.74907
MonotonicityNot monotonic
2025-10-30T00:21:00.041467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2665962
 
3.4%
4103326
 
1.9%
4272630
 
1.5%
5292446
 
1.4%
3121843
 
1.0%
1001636
 
0.9%
5421507
 
0.9%
2151435
 
0.8%
1531313
 
0.7%
4171234
 
0.7%
Other values (455)18484
 
10.4%
(Missing)135346
76.4%
ValueCountFrequency (%)
1001636
0.9%
1011
 
< 0.1%
1023
 
< 0.1%
10313
 
< 0.1%
10411
 
< 0.1%
ValueCountFrequency (%)
6711
 
< 0.1%
6701
 
< 0.1%
66922
< 0.1%
6679
< 0.1%
6661
 
< 0.1%

id_20
Real number (ℝ)

Missing 

Distinct287
Distinct (%)0.7%
Missing135372
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean404.118569
Minimum100
Maximum660
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:00.091049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile153
Q1266
median472
Q3533
95-th percentile600
Maximum660
Range560
Interquartile range (IQR)267

Descriptive statistics

Standard deviation152.2093267
Coefficient of variation (CV)0.3766452184
Kurtosis-1.317142179
Mean404.118569
Median Absolute Deviation (MAD)125
Skewness-0.3236190894
Sum16888115
Variance23167.67914
MonotonicityNot monotonic
2025-10-30T00:21:00.142252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5076740
 
3.8%
2223276
 
1.8%
3252413
 
1.4%
5331992
 
1.1%
6001704
 
1.0%
5491696
 
1.0%
2141639
 
0.9%
5631392
 
0.8%
3331119
 
0.6%
5951031
 
0.6%
Other values (277)18788
 
10.6%
(Missing)135372
76.4%
ValueCountFrequency (%)
100201
0.1%
1021
 
< 0.1%
1039
 
< 0.1%
1043
 
< 0.1%
107263
0.1%
ValueCountFrequency (%)
6608
< 0.1%
6572
 
< 0.1%
6552
 
< 0.1%
6521
 
< 0.1%
6502
 
< 0.1%

id_21
Real number (ℝ)

Missing 

Distinct245
Distinct (%)16.2%
Missing175651
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean368.347452
Minimum101
Maximum854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:00.190555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile228
Q1252
median252
Q3472
95-th percentile801.5
Maximum854
Range753
Interquartile range (IQR)220

Descriptive statistics

Standard deviation195.2727361
Coefficient of variation (CV)0.530131904
Kurtosis0.0857371569
Mean368.347452
Median Absolute Deviation (MAD)3
Skewness1.234513723
Sum556573
Variance38131.44145
MonotonicityNot monotonic
2025-10-30T00:21:00.243125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252729
 
0.4%
22870
 
< 0.1%
25543
 
< 0.1%
59641
 
< 0.1%
57626
 
< 0.1%
27723
 
< 0.1%
84918
 
< 0.1%
66818
 
< 0.1%
84815
 
< 0.1%
75515
 
< 0.1%
Other values (235)513
 
0.3%
(Missing)175651
99.1%
ValueCountFrequency (%)
1015
< 0.1%
1092
 
< 0.1%
1211
 
< 0.1%
1231
 
< 0.1%
1313
< 0.1%
ValueCountFrequency (%)
8545
 
< 0.1%
8531
 
< 0.1%
8511
 
< 0.1%
84918
< 0.1%
84815
< 0.1%

id_22
Real number (ℝ)

Missing 

Distinct16
Distinct (%)1.1%
Missing175645
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean16.10151615
Minimum12
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:00.280352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q114
median14
Q314
95-th percentile41
Maximum42
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.064178398
Coefficient of variation (CV)0.4387275292
Kurtosis7.974208187
Mean16.10151615
Median Absolute Deviation (MAD)0
Skewness3.134855854
Sum24426
Variance49.90261643
MonotonicityNot monotonic
2025-10-30T00:21:00.314940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
141386
 
0.8%
41101
 
0.1%
3311
 
< 0.1%
312
 
< 0.1%
172
 
< 0.1%
362
 
< 0.1%
202
 
< 0.1%
282
 
< 0.1%
192
 
< 0.1%
391
 
< 0.1%
Other values (6)6
 
< 0.1%
(Missing)175645
99.1%
ValueCountFrequency (%)
121
 
< 0.1%
141386
0.8%
172
 
< 0.1%
192
 
< 0.1%
202
 
< 0.1%
ValueCountFrequency (%)
421
 
< 0.1%
41101
0.1%
391
 
< 0.1%
381
 
< 0.1%
362
 
< 0.1%

id_23
Text

Missing 

Distinct3
Distinct (%)0.2%
Missing175645
Missing (%)99.1%
Memory size1.4 MiB
2025-10-30T00:21:00.378629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length20
Median length20
Mean length18.97231378
Min length15

Characters and Unicode

Total characters28781
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIP_PROXY:ANONYMOUS
2nd rowIP_PROXY:TRANSPARENT
3rd rowIP_PROXY:ANONYMOUS
4th rowIP_PROXY:TRANSPARENT
5th rowIP_PROXY:TRANSPARENT
ValueCountFrequency (%)
ip_proxy:transparent1018
67.1%
ip_proxy:anonymous312
 
20.6%
ip_proxy:hidden187
 
12.3%
2025-10-30T00:21:00.473400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P4052
14.1%
R3553
12.3%
N2847
9.9%
A2348
8.2%
O2141
7.4%
T2036
 
7.1%
Y1829
 
6.4%
I1704
 
5.9%
:1517
 
5.3%
X1517
 
5.3%
Other values (7)5237
18.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)28781
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P4052
14.1%
R3553
12.3%
N2847
9.9%
A2348
8.2%
O2141
7.4%
T2036
 
7.1%
Y1829
 
6.4%
I1704
 
5.9%
:1517
 
5.3%
X1517
 
5.3%
Other values (7)5237
18.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)28781
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P4052
14.1%
R3553
12.3%
N2847
9.9%
A2348
8.2%
O2141
7.4%
T2036
 
7.1%
Y1829
 
6.4%
I1704
 
5.9%
:1517
 
5.3%
X1517
 
5.3%
Other values (7)5237
18.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)28781
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P4052
14.1%
R3553
12.3%
N2847
9.9%
A2348
8.2%
O2141
7.4%
T2036
 
7.1%
Y1829
 
6.4%
I1704
 
5.9%
:1517
 
5.3%
X1517
 
5.3%
Other values (7)5237
18.2%

id_24
Real number (ℝ)

Missing 

Distinct11
Distinct (%)0.8%
Missing175777
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean12.80433213
Minimum11
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:00.503317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q111
median11
Q315
95-th percentile16
Maximum26
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.313877149
Coefficient of variation (CV)0.1807104912
Kurtosis2.072321747
Mean12.80433213
Median Absolute Deviation (MAD)0
Skewness1.132471545
Sum17734
Variance5.354027462
MonotonicityNot monotonic
2025-10-30T00:21:00.535451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
11813
 
0.5%
15480
 
0.3%
1661
 
< 0.1%
1813
 
< 0.1%
217
 
< 0.1%
243
 
< 0.1%
173
 
< 0.1%
252
 
< 0.1%
261
 
< 0.1%
121
 
< 0.1%
(Missing)175777
99.2%
ValueCountFrequency (%)
11813
0.5%
121
 
< 0.1%
15480
0.3%
1661
 
< 0.1%
173
 
< 0.1%
ValueCountFrequency (%)
261
 
< 0.1%
252
 
< 0.1%
243
< 0.1%
231
 
< 0.1%
217
< 0.1%

id_25
Real number (ℝ)

Missing 

Distinct204
Distinct (%)13.5%
Missing175653
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean331.5029821
Minimum100
Maximum548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:00.583708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile143
Q1321
median321
Q3374
95-th percentile509
Maximum548
Range448
Interquartile range (IQR)53

Descriptive statistics

Standard deviation99.84050024
Coefficient of variation (CV)0.3011752703
Kurtosis-0.09081274983
Mean331.5029821
Median Absolute Deviation (MAD)35
Skewness0.02237985637
Sum500238
Variance9968.125488
MonotonicityNot monotonic
2025-10-30T00:21:00.632968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321713
 
0.4%
20591
 
0.1%
42669
 
< 0.1%
50141
 
< 0.1%
52431
 
< 0.1%
44224
 
< 0.1%
37123
 
< 0.1%
12618
 
< 0.1%
50516
 
< 0.1%
50915
 
< 0.1%
Other values (194)468
 
0.3%
(Missing)175653
99.1%
ValueCountFrequency (%)
1003
< 0.1%
1021
 
< 0.1%
1031
 
< 0.1%
1041
 
< 0.1%
1064
< 0.1%
ValueCountFrequency (%)
5484
< 0.1%
5456
< 0.1%
5391
 
< 0.1%
5381
 
< 0.1%
5355
< 0.1%

id_26
Real number (ℝ)

Missing 

Distinct67
Distinct (%)4.4%
Missing175646
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean149.6965699
Minimum100
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:00.680298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1119
median150
Q3169
95-th percentile195
Maximum216
Range116
Interquartile range (IQR)50

Descriptive statistics

Standard deviation31.69818916
Coefficient of variation (CV)0.2117496024
Kurtosis-0.8455647938
Mean149.6965699
Median Absolute Deviation (MAD)29
Skewness-0.04652658517
Sum226940
Variance1004.775196
MonotonicityNot monotonic
2025-10-30T00:21:00.729807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161236
 
0.1%
184178
 
0.1%
142160
 
0.1%
102135
 
0.1%
169124
 
0.1%
100114
 
0.1%
11994
 
0.1%
14773
 
< 0.1%
18243
 
< 0.1%
21534
 
< 0.1%
Other values (57)325
 
0.2%
(Missing)175646
99.1%
ValueCountFrequency (%)
100114
0.1%
102135
0.1%
1068
 
< 0.1%
1074
 
< 0.1%
1081
 
< 0.1%
ValueCountFrequency (%)
21621
< 0.1%
21534
< 0.1%
2124
 
< 0.1%
2111
 
< 0.1%
2082
 
< 0.1%

id_27
Text

Missing 

Distinct2
Distinct (%)0.1%
Missing175645
Missing (%)99.1%
Memory size1.4 MiB
2025-10-30T00:21:00.771901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.009887937
Min length5

Characters and Unicode

Total characters7600
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFound
2nd rowFound
3rd rowFound
4th rowFound
5th rowFound
ValueCountFrequency (%)
found1512
99.7%
notfound5
 
0.3%
2025-10-30T00:21:00.849697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o1522
20.0%
F1517
20.0%
u1517
20.0%
n1517
20.0%
d1517
20.0%
N5
 
0.1%
t5
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)7600
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o1522
20.0%
F1517
20.0%
u1517
20.0%
n1517
20.0%
d1517
20.0%
N5
 
0.1%
t5
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7600
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o1522
20.0%
F1517
20.0%
u1517
20.0%
n1517
20.0%
d1517
20.0%
N5
 
0.1%
t5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7600
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o1522
20.0%
F1517
20.0%
u1517
20.0%
n1517
20.0%
d1517
20.0%
N5
 
0.1%
t5
 
0.1%

id_28
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134866
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:21:00.884618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.085965576
Min length3

Characters and Unicode

Total characters172820
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFound
2nd rowNew
3rd rowNew
4th rowFound
5th rowNew
ValueCountFrequency (%)
found22966
54.3%
new19330
45.7%
2025-10-30T00:21:00.960494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F22966
13.3%
o22966
13.3%
u22966
13.3%
n22966
13.3%
d22966
13.3%
N19330
11.2%
e19330
11.2%
w19330
11.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)172820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F22966
13.3%
o22966
13.3%
u22966
13.3%
n22966
13.3%
d22966
13.3%
N19330
11.2%
e19330
11.2%
w19330
11.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)172820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F22966
13.3%
o22966
13.3%
u22966
13.3%
n22966
13.3%
d22966
13.3%
N19330
11.2%
e19330
11.2%
w19330
11.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)172820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F22966
13.3%
o22966
13.3%
u22966
13.3%
n22966
13.3%
d22966
13.3%
N19330
11.2%
e19330
11.2%
w19330
11.2%

id_29
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134866
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:21:01.001922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8
Median length5
Mean length6.398571969
Min length5

Characters and Unicode

Total characters270634
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFound
2nd rowNotFound
3rd rowNotFound
4th rowFound
5th rowNotFound
ValueCountFrequency (%)
found22578
53.4%
notfound19718
46.6%
2025-10-30T00:21:01.080638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o62014
22.9%
F42296
15.6%
u42296
15.6%
n42296
15.6%
d42296
15.6%
N19718
 
7.3%
t19718
 
7.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)270634
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o62014
22.9%
F42296
15.6%
u42296
15.6%
n42296
15.6%
d42296
15.6%
N19718
 
7.3%
t19718
 
7.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)270634
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o62014
22.9%
F42296
15.6%
u42296
15.6%
n42296
15.6%
d42296
15.6%
N19718
 
7.3%
t19718
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)270634
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o62014
22.9%
F42296
15.6%
u42296
15.6%
n42296
15.6%
d42296
15.6%
N19718
 
7.3%
t19718
 
7.3%

id_30
Text

Missing 

Distinct72
Distinct (%)0.3%
Missing153785
Missing (%)86.8%
Memory size1.4 MiB
2025-10-30T00:21:01.163636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.78487402
Min length3

Characters and Unicode

Total characters252118
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowiOS 11.2.1
2nd rowMac OS X 10_13_2
3rd rowWindows 8.1
4th rowAndroid 7.0
5th rowWindows 10
ValueCountFrequency (%)
windows11016
20.5%
106383
11.9%
ios6010
11.2%
mac4026
 
7.5%
x3929
 
7.3%
os3929
 
7.3%
73889
 
7.2%
android1941
 
3.6%
11.2.11120
 
2.1%
11.1.21105
 
2.1%
Other values (64)10379
19.3%
2025-10-30T00:21:01.393222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130375
 
12.0%
30350
 
12.0%
i19419
 
7.7%
.15039
 
6.0%
d14898
 
5.9%
014515
 
5.8%
n13338
 
5.3%
o12960
 
5.1%
s11092
 
4.4%
W11016
 
4.4%
Other values (27)79116
31.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)252118
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
130375
 
12.0%
30350
 
12.0%
i19419
 
7.7%
.15039
 
6.0%
d14898
 
5.9%
014515
 
5.8%
n13338
 
5.3%
o12960
 
5.1%
s11092
 
4.4%
W11016
 
4.4%
Other values (27)79116
31.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)252118
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
130375
 
12.0%
30350
 
12.0%
i19419
 
7.7%
.15039
 
6.0%
d14898
 
5.9%
014515
 
5.8%
n13338
 
5.3%
o12960
 
5.1%
s11092
 
4.4%
W11016
 
4.4%
Other values (27)79116
31.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)252118
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
130375
 
12.0%
30350
 
12.0%
i19419
 
7.7%
.15039
 
6.0%
d14898
 
5.9%
014515
 
5.8%
n13338
 
5.3%
o12960
 
5.1%
s11092
 
4.4%
W11016
 
4.4%
Other values (27)79116
31.4%

id_31
Text

Missing 

Distinct116
Distinct (%)0.3%
Missing135070
Missing (%)76.2%
Memory size1.4 MiB
2025-10-30T00:21:01.474201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length30
Median length23
Mean length15.38791219
Min length2

Characters and Unicode

Total characters647708
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st rowchrome generic
2nd rowmobile safari 11.0
3rd rowchrome 64.0
4th rowchrome 66.0 for android
5th rowsafari generic
ValueCountFrequency (%)
chrome22722
20.4%
safari11212
10.1%
for9296
 
8.3%
mobile8543
 
7.7%
63.08341
 
7.5%
generic7774
 
7.0%
11.07117
 
6.4%
android6328
 
5.7%
65.03095
 
2.8%
64.03059
 
2.7%
Other values (67)24004
21.5%
2025-10-30T00:21:01.602679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69399
 
10.7%
r61132
 
9.4%
e59948
 
9.3%
o53005
 
8.2%
i39440
 
6.1%
034368
 
5.3%
.33644
 
5.2%
m31965
 
4.9%
c30630
 
4.7%
a29924
 
4.6%
Other values (42)204253
31.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)647708
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
69399
 
10.7%
r61132
 
9.4%
e59948
 
9.3%
o53005
 
8.2%
i39440
 
6.1%
034368
 
5.3%
.33644
 
5.2%
m31965
 
4.9%
c30630
 
4.7%
a29924
 
4.6%
Other values (42)204253
31.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)647708
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
69399
 
10.7%
r61132
 
9.4%
e59948
 
9.3%
o53005
 
8.2%
i39440
 
6.1%
034368
 
5.3%
.33644
 
5.2%
m31965
 
4.9%
c30630
 
4.7%
a29924
 
4.6%
Other values (42)204253
31.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)647708
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
69399
 
10.7%
r61132
 
9.4%
e59948
 
9.3%
o53005
 
8.2%
i39440
 
6.1%
034368
 
5.3%
.33644
 
5.2%
m31965
 
4.9%
c30630
 
4.7%
a29924
 
4.6%
Other values (42)204253
31.5%

id_32
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing153779
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean26.54235983
Minimum0
Maximum32
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-10-30T00:21:01.636980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q124
median24
Q332
95-th percentile32
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.747743555
Coefficient of variation (CV)0.1411985814
Kurtosis-1.246775628
Mean26.54235983
Median Absolute Deviation (MAD)0
Skewness0.7339678415
Sum620640
Variance14.04558175
MonotonicityNot monotonic
2025-10-30T00:21:01.665008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2415898
 
9.0%
327459
 
4.2%
1625
 
< 0.1%
01
 
< 0.1%
(Missing)153779
86.8%
ValueCountFrequency (%)
01
 
< 0.1%
1625
 
< 0.1%
2415898
9.0%
327459
4.2%
ValueCountFrequency (%)
327459
4.2%
2415898
9.0%
1625
 
< 0.1%
01
 
< 0.1%

id_33
Text

Missing 

Distinct164
Distinct (%)0.7%
Missing155091
Missing (%)87.5%
Memory size1.4 MiB
2025-10-30T00:21:01.767424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.574011146
Min length3

Characters and Unicode

Total characters189237
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)0.3%

Sample

1st row1334x750
2nd row2560x1440
3rd row1366x768
4th row2220x1080
5th row1366x768
ValueCountFrequency (%)
1920x10805074
23.0%
1366x7682543
11.5%
1334x7501980
 
9.0%
2208x12421429
 
6.5%
1440x9001276
 
5.8%
1600x9001102
 
5.0%
2048x15361056
 
4.8%
1280x800658
 
3.0%
2560x1600643
 
2.9%
2560x1440553
 
2.5%
Other values (154)5757
26.1%
2025-10-30T00:21:01.918295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
043369
22.9%
130311
16.0%
x22071
11.7%
221351
11.3%
816091
 
8.5%
615313
 
8.1%
411155
 
5.9%
39470
 
5.0%
98184
 
4.3%
56078
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)189237
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
043369
22.9%
130311
16.0%
x22071
11.7%
221351
11.3%
816091
 
8.5%
615313
 
8.1%
411155
 
5.9%
39470
 
5.0%
98184
 
4.3%
56078
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)189237
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
043369
22.9%
130311
16.0%
x22071
11.7%
221351
11.3%
816091
 
8.5%
615313
 
8.1%
411155
 
5.9%
39470
 
5.0%
98184
 
4.3%
56078
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)189237
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
043369
22.9%
130311
16.0%
x22071
11.7%
221351
11.3%
816091
 
8.5%
615313
 
8.1%
411155
 
5.9%
39470
 
5.0%
98184
 
4.3%
56078
 
3.2%

id_34
Text

Missing 

Distinct4
Distinct (%)< 0.1%
Missing153735
Missing (%)86.8%
Memory size1.4 MiB
2025-10-30T00:21:01.978593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.00008537
Min length14

Characters and Unicode

Total characters327980
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmatch_status:1
2nd rowmatch_status:2
3rd rowmatch_status:2
4th rowmatch_status:2
5th rowmatch_status:2
ValueCountFrequency (%)
match_status:218028
77.0%
match_status:15288
 
22.6%
match_status:0109
 
0.5%
match_status:-12
 
< 0.1%
2025-10-30T00:21:02.064553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t70281
21.4%
a46854
14.3%
s46854
14.3%
m23427
 
7.1%
c23427
 
7.1%
h23427
 
7.1%
_23427
 
7.1%
u23427
 
7.1%
:23427
 
7.1%
218028
 
5.5%
Other values (3)5401
 
1.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)327980
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
t70281
21.4%
a46854
14.3%
s46854
14.3%
m23427
 
7.1%
c23427
 
7.1%
h23427
 
7.1%
_23427
 
7.1%
u23427
 
7.1%
:23427
 
7.1%
218028
 
5.5%
Other values (3)5401
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)327980
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
t70281
21.4%
a46854
14.3%
s46854
14.3%
m23427
 
7.1%
c23427
 
7.1%
h23427
 
7.1%
_23427
 
7.1%
u23427
 
7.1%
:23427
 
7.1%
218028
 
5.5%
Other values (3)5401
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)327980
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
t70281
21.4%
a46854
14.3%
s46854
14.3%
m23427
 
7.1%
c23427
 
7.1%
h23427
 
7.1%
_23427
 
7.1%
u23427
 
7.1%
:23427
 
7.1%
218028
 
5.5%
Other values (3)5401
 
1.6%

id_35
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134862
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:21:02.087686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters42300
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowF
4th rowF
5th rowT
ValueCountFrequency (%)
t23442
55.4%
f18858
44.6%
2025-10-30T00:21:02.144905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T23442
55.4%
F18858
44.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T23442
55.4%
F18858
44.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T23442
55.4%
F18858
44.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T23442
55.4%
F18858
44.6%

id_36
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134862
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:21:02.166639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters42300
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f40186
95.0%
t2114
 
5.0%
2025-10-30T00:21:02.220119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F40186
95.0%
T2114
 
5.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F40186
95.0%
T2114
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F40186
95.0%
T2114
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F40186
95.0%
T2114
 
5.0%

id_37
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134862
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:21:02.241384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters42300
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowF
3rd rowT
4th rowT
5th rowF
ValueCountFrequency (%)
t33085
78.2%
f9215
 
21.8%
2025-10-30T00:21:02.302323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T33085
78.2%
F9215
 
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T33085
78.2%
F9215
 
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T33085
78.2%
F9215
 
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T33085
78.2%
F9215
 
21.8%

id_38
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134862
Missing (%)76.1%
Memory size1.4 MiB
2025-10-30T00:21:02.325725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters42300
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f22093
52.2%
t20207
47.8%
2025-10-30T00:21:02.381395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F22093
52.2%
T20207
47.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F22093
52.2%
T20207
47.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F22093
52.2%
T20207
47.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)42300
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F22093
52.2%
T20207
47.8%

DeviceType
Text

Missing 

Distinct2
Distinct (%)< 0.1%
Missing134913
Missing (%)76.2%
Memory size1.4 MiB
2025-10-30T00:21:02.420804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.60479538
Min length6

Characters and Unicode

Total characters279046
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdesktop
2nd rowmobile
3rd rowdesktop
4th rowmobile
5th rowdesktop
ValueCountFrequency (%)
desktop25552
60.5%
mobile16697
39.5%
2025-10-30T00:21:02.496960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e42249
15.1%
o42249
15.1%
d25552
9.2%
s25552
9.2%
k25552
9.2%
t25552
9.2%
p25552
9.2%
m16697
 
6.0%
b16697
 
6.0%
i16697
 
6.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)279046
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e42249
15.1%
o42249
15.1%
d25552
9.2%
s25552
9.2%
k25552
9.2%
t25552
9.2%
p25552
9.2%
m16697
 
6.0%
b16697
 
6.0%
i16697
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)279046
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e42249
15.1%
o42249
15.1%
d25552
9.2%
s25552
9.2%
k25552
9.2%
t25552
9.2%
p25552
9.2%
m16697
 
6.0%
b16697
 
6.0%
i16697
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)279046
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e42249
15.1%
o42249
15.1%
d25552
9.2%
s25552
9.2%
k25552
9.2%
t25552
9.2%
p25552
9.2%
m16697
 
6.0%
b16697
 
6.0%
i16697
 
6.0%

DeviceInfo
Text

Missing 

Distinct1259
Distinct (%)3.5%
Missing141540
Missing (%)79.9%
Memory size1.4 MiB
2025-10-30T00:21:02.602423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length43
Median length38
Mean length11.05013756
Min length1

Characters and Unicode

Total characters393628
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique429 ?
Unique (%)1.2%

Sample

1st rowWindows
2nd rowiOS Device
3rd rowWindows
4th rowMoto Z2 Play Build/NPSS26.118-19-14
5th rowMacOS
ValueCountFrequency (%)
windows14351
27.4%
device6010
 
11.5%
ios6010
 
11.5%
macos3736
 
7.1%
trident/7.02240
 
4.3%
build/nrd90m1733
 
3.3%
moto825
 
1.6%
samsung720
 
1.4%
rv:11.0582
 
1.1%
build/mmb29k548
 
1.0%
Other values (1183)15601
29.8%
2025-10-30T00:21:02.771220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i36479
 
9.3%
d23981
 
6.1%
n16883
 
4.3%
16734
 
4.3%
M16607
 
4.2%
o16392
 
4.2%
S16088
 
4.1%
W15516
 
3.9%
e15167
 
3.9%
s14938
 
3.8%
Other values (60)204843
52.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)393628
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i36479
 
9.3%
d23981
 
6.1%
n16883
 
4.3%
16734
 
4.3%
M16607
 
4.2%
o16392
 
4.2%
S16088
 
4.1%
W15516
 
3.9%
e15167
 
3.9%
s14938
 
3.8%
Other values (60)204843
52.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)393628
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i36479
 
9.3%
d23981
 
6.1%
n16883
 
4.3%
16734
 
4.3%
M16607
 
4.2%
o16392
 
4.2%
S16088
 
4.1%
W15516
 
3.9%
e15167
 
3.9%
s14938
 
3.8%
Other values (60)204843
52.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)393628
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i36479
 
9.3%
d23981
 
6.1%
n16883
 
4.3%
16734
 
4.3%
M16607
 
4.2%
o16392
 
4.2%
S16088
 
4.1%
W15516
 
3.9%
e15167
 
3.9%
s14938
 
3.8%
Other values (60)204843
52.0%